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This reference presents information about different facets of IoT and blockchain systems that have been recently proposed for practical situations. Chapters provide knowledge about how these technologies are applied in functions related to trust management, identity management, security threats, access control and privacy. Key Features:- Introduces the reader to fundamental concepts of IoT and blockchain technology- reports advances in the field of IoT, ubiquitous computing and blockchain computing - includes the applications of different frameworks- explains the role of blockchains in improving IT security- provides examples of smart grids, data transmission models, digital business platforms, agronomics and big data solutions- Includes references for further reading Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future is a handy reference for information technology professionals and students who want updated information about applications of IoT and blockchains in secure operational and business processes.

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Veröffentlichungsjahr: 2021

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Table of Contents
BENTHAM SCIENCE PUBLISHERS LTD.
End User License Agreement (for non-institutional, personal use)
Usage Rules:
Disclaimer:
Limitation of Liability:
General:
PREFACE
List of Contributors
An Overview of Smart Grid in the Current Age
Abstract
1. INTRODUCTION
2. SMART CITIES CONCEPTS
3. SMART GRID CONCEPTS
3.1. Smart Grid and IoT
3.2. Smart Grid Applications
3.3. Smart Grid Advantages
4. SMART GRID INFRASTRUCTURE
5. DISCUSSION
5.1. Infrastructure generated by Smart Grid
5.2. Smart Grid as an Instrument of Innovation
5.3. Smart Grid Benefits
5.4. Blockchain for Smart Grids
CONCLUSION
TRENDS
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
Dynamic Strategies of Machine Learning for Extenuation of Security Breaches in Wireless Sensor Networks
Abstract
1. INTRODUCTION
2. SECURITY CONCERNS IN WIRELESS SENSOR NETWORKS
2.1. Eavesdropping Attack
2.2. Jamming Attack
2.3. Tampering
2.4. Exhaustion and Collision Attack
2.5. Sybil Attack
2.6. Blackhole Attack
2.7. Wormhole Attack
2.8. Grayhole Attack
2.9. Sinkhole Attack
2.10. Hello Flood Attack
3. MACHINE LEARNING EMERGING AS A SAFEGUARD TO WSNs
4. SUPERVISED LEARNING
4.1. Linear Regression and Logistic Regression
4.2. Artificial Neural Networks (ANN)
4.3. Decision Tree
4.4. Random Forest
4.5. Bayesian Learning
4.6. Support Vector Machine (SVM)
4.7. K- Nearest Neighbor (K-NN)
5. UNSUPERVISED LEARNING
5.1. K- Means Clustering
5.2. Fuzzy C- Means Clustering
6. SEMI-SUPERVISED LEARNING
7. REINFORCEMENT LEARNING
8. MACHINE LEARNING ADDRESSING ISSUES in WSNs
8.1. Machine Learning Addressing Issue of Security
8.2. Machine Learning Addressing Issue of Routing in Wireless Sensor Network
8.3. Data Aggregation in WSNs with Machine Learning
9. PROPOSED FEATURE SELECTION METHOD AND COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS
9.1. Dataset Gathering
9.2. Feature Selection Methodology
9.2.1. Correlation-based Feature
9.2.2. Info Gain Method
9.2.3. CFS Subset Evaluation
10. EXPERIMENTAL RESULTS AND ANALYSIS
CONCLUSION AND FUTURE WORK
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
IoT- Fundamentals and Challenges
Abstract
1. INTRODUCTION
2. HISTORY OF IOT
2.1. Realizing the Concept
3. INTERNET OF THINGS
3.1. Meaning of IoT
3.2. Importance of IoT
3.2.1. Things that Collect and Send Information
3.2.2. Things that Receive Information and then Act on it
3.2.3. Things that Can Do Both
3.3. Scope of IoT: Applications and Examples
3.3.1. Increasing Efficiency
3.3.2. Improved Health and Safety
3.3.3. Enhancing Experience
4. FUNDAMENTALS OF IOT
4.1. IoT Device Architecture
4.2. IoT Reference Architecture
4.3. IoT Standardization and Design Considerations
4.4. IoT Interoperability Challenges
4.5. IoT Device Architecture Network and Cloud
4.6. Centralized and Decentralized IoT Architectures
5. CHALLENGES
5.1. Security
5.2. Customer Privacy
5.3. Scalability
6. FUTURE
7. CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
IoT Based Energy Conservation of A Smart Home
Abstract
1. Introduction
1.1. Background
1.2. Motivation
1.3. Organization of Chapter
2. Benefits of Smart Home
3. Smart Home & Energy Conservation
3.1. Glance at the Journey
3.2. Example: Smart Systems
3.2.1. Healthcare - Elderly Alert Systems
3.2.2. Home Energy Management System (HEMS)
3.2.3. Smart Metering System (SESAME)
4. Architecture & Framework For Smart Home Environment
4.1. Data Flow and Management in CMS for SHEs
5. Implementation of Smart Home Using Zigbee
5.1. Smart Home Control System
5.2. Two Major Functions
5.2.1. Framework Controlling Lights
5.2.2. Framework Controlling Fan
6. Conservation of Cultural Heritage-Application of Energy conservation IoT
Conclusion and Future Scope
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Blockchain: Concept and Emergence
Abstract
1. INTRODUCTION
2. THE NEED FOR BLOCKCHAIN TECHNOLOGY
3. HISTORY AND EVOLUTION
3.1. First Generation/ Blockchain 1.0
3.2. Second Generation/ Blockchain 2.0
3.3. Third Generation/ Blockchain 3.0
3.4. Fourth Generation/ Blockchain 4.0
4. PREFATORY ELEMENTS
4.1. Transaction
4.2. Node
4.3. Mining
4.4. Block
4.5. Hashing
4.6. Digital Signatures
4.7. Consensus
4.8. Smart Contract
5. FEATURES
5.1. Distributed
5.2. Decentralized
5.3. Immutable
5.4. Transparent
5.5. Peer to Peer Network
6. TYPES AND PLATFORMS
6.1. Public Blockchain
6.2. Private Blockchain
6.3. Consortium Blockchain
7. HOW DOES IT WORK?
8. APPLICATIONS, ADVANTAGES & CHALLENGES
8.1. APPLICATIONS
8.2. ADVANTAGES
8.3. CHALLENGES
9. FUTURE SCOPE
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Industrial Revolution: Blockchain as a Wave for Industry 4.0 and IIoT
Abstract
1. INTRODUCTION
2. BACKGROUND MATERIALS
2.1. Industry 4.0
2.1.1. The First Revolution of Industry
2.1.2. The Second Revolution of Industry
2.1.3. The Third Revolution of Industry
2.1.4. The Fourth Revolution of Industry or Industry 4.0
2.2. IIoT
2.2.1. IIoT versus IoT
3. MAJOR APPLICATIONS
3.1. Healthcare Industry
3.1.1. Patient Record Management
3.1.2. Securing Patient Data
3.1.3. Industrial Implementations
3.1.4. Challenges
3.2. Manufacturing Industry
3.2.1. Enhanced Data Protection
3.2.2. Manufacturing Plants
3.2.3. Developed Tracing as well as Traceability
3.2.4. Credibility of Deliveries
3.2.5. Efficient Inventory Management
3.2.6. Challenges
3.3. Agriculture Industry
3.3.1. Production of Crop and Food
3.3.2. Preventing Weather Crisis
3.3.3. Food Supply Chain
3.3.4. Handling Agricultural Finance
3.3.5. Challenges
4. OPEN ISSUES AND MODERN APPLICATION SECTORS
4.1. Open Challenges related to Adoption of Blockchain Technology in IIoT
4.1.1. Energy and Cost Efficiency
4.1.2. Regulations
4.1.3. Resource Constraints
4.1.4. Security and Confidentiality
4.1.5. Scalability
4.2. Modern Application Fields in IIoT where blockchain is being implemented
4.2.1. Taxi Industry
4.2.2. Music Industry
4.2.3. Education Industry
4.2.4. Drone Industry
5. CHALLENGES IMPLEMENTATION
5.1. Data Storage
5.2. Analytics Challenge
5.3. Connectivity Outage Challenge
5.4. Delivering Value to the Customer
5.5. Security
6. SOLUTIONS TO DEAL WITH INDUSTRIAL IOT IMPLEMENTATION CHALLENGES
6.1. Clustering of IoT Gateway
6.2. TTM, TPM and TNM
6.3. IIoT Gateway
6.4. Edge Computing
7. CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Enhancement of Iot Security Solutions Using Blockchain Technology
Abstract
1. INTRODUCTION
1.1. Contribution of the Work
1.2. Paper Organization
2. PLATFORMS TO IMPLEMENT BLOCKCHAIN TECHNOLOGY AND ITS USES
2.1. IoT And Its Integration
3. TECHNIQUES USED FOR IMPOSING SECURITY
3.1. Consensus
3.2. Ledger
3.3. Cryptography
3.4. Hashing
3.5. Smart Contract
4. IoT Implementation
4.1. Data Storage In A Distributed Manner
4.2. Decentralized Energy Production And Consumption
4.3. Selective Offloading To Minimize The Data Path
4.4. Iot In Home Appliances
4.5. E-Governance
4.6. Education System
4.7. Healthcare
4.8. Secure Payment Processing
4.9. Supply-Chain Management and Logistics
4.10. Smart City
4.10.1. Smart Vehicles
4.10.2. Digital Identity
4.10.3. Smart Parking And Lighting
4.10.4. Waste Management And Smart Sanitation
4.10.5. Smart Environment
4.10.6. Blockchain In Tourism And Travel Management
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
Secured IoT Model for Sensitive Data Transmission Using Blockchain Technique
Abstract
1. INTRODUCTION
2. LITERATURE SURVEY
3. PROPOSED MODEL
3.1. Decentralizing
3.2. Media Connections
3.3. Safe Information
3.4. Edge Nodes Assaults
3.5. Denial of Installations
3.6. Strong Node Management
3.7. Attacks Routing
3.8. Solution IoT Blockchain
The Stage of The Gateway:
The Photo Picture:
Standard Website:
3.9. Strong IoT Protection with Blockchain Technology
3.9.1. Secure Communication
3.9.2. Consumer Authentication
3.9.3. Finding a Broad Legal IoT
3.9.4. IoT Configuration
4. RESULTS
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Transforming OTT Digital Platform Business Using Blockchain Technology
Abstract
1. INTRODUCTION
2. RISE IN CONTENT FOR VIDEO STREAMING APPLICATIONS FOR THE CUSTOMERS
3. Technological innovations to solve challenges of OTT
4. DEFINING BLOCKCHAIN
4.1. Smart Contract
5. PROPOSED BLOCKCHAIN BUSINESS MODELS, BENEFITS, AND CHALLENGES
5.1. Blockchain- As- A Service (BaaS)
5.2. Token Economy- Utility Token Business Model
5.3. Blockchain-Based Software Products
5.4. P2P Blockchain Business Model
5.5. Blockchain Professional Services
6. Revolutionary benefits of Blockchain Technology
7. CHALLENGES THAT CAN BE SOLVED BY BLOCKCHAIN IN MEDIA AND BROADCASTING INDUSTRY
8. TRANSFORMING OTT DIGITAL PLATFORM BUSINESS USING BLOCKCHAIN TECHNOLOGY
8.1. Providing Tokens for Audio and Video
8.2. Provides Scope for New Artists and New Entrants
8.3. Targeted Advertisements and Marketing
8.4. Royalty Payments and Smart Contracts
8.5. The Decentralized Model of Content Delivery
8.6. Reduce Production Costs
8.7. Micropayments
8.8. Licensing and Monetization
8.9. Royalty Tracking and Payments
8.10. Blockchain-Powered Cloud Space
9. BLOCKCHAIN TECHNOLOGY - DISRUPTIONS AS A GAME- HANGER IN OTT PLATFORM BUSINESS AND REAL-TIME APPLICATIONS IN DIGITAL ADVERTISING
9.1. Opportunities for new channel dispatches
9.2. Advertising and free substance
10. Real-Time applications of Blockchain Technology in Digital Advertising and OTT Platform Business
10.1. Visual Content and Media
10.2. Block Graph TM
10.3. Music
10.4. Engaging Audiences
10.5. Current Scenario and Beyond
11. MACHINE LEARNING (ML) ADOPTION IN BLOCKCHAIN (BC) – RESEARCH ISSUES AND CHALLENGES
11.1. Suitability
11.2. Infrastructure
11.3. Privacy
11.4. Memory
11.5. Implementation
11.6. Security
11.7. Quantum Resilience
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
Blockchain-based Cultivating Ideas for Growth: A New Agronomics Perspective
Abstract
1. INTRODUCTION
2. LITERATURE SURVEY
3. OPPORTUNITIES
3.1. Procurement Tracking
3.2. Land Registry
3.3. Underwater Fishing Industry
3.4. Crop and Food Production Management
3.5. Climate Emergency Control
3.6. Management of Agricultural Finances and Insurances
3.7. Increasing the Transparency
3.8. Economic Observation and Covering Green Bonds
4. APPLICATIONS
4.1. Smart Agriculture
4.2. Nourishment Supply Network
4.3. Internet Business of Agri Products
4.4. Farming Insurances
5. USE CASES
5.1. Food Safety
5.2. Traceability
5.3. Transaction Costs
5.4. Opening New Markets
5.5. Logistics
6. BLOCKCHAIN-BASED ARCHITECTURE IN AGRICULTURE AND CHALLENGES
CONCLUSION & FUTURE SCOPE
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Blockchain Solutions for Big Data Management
Abstract
1. INTRODUCTION
2. Introduction to Blockchain
2.1. Mechanism
2.2.1. Proof of Work
2.1.2. Proof of Stake
2.2. Types
2.2.1. Public Blockchain
2.2.2. Private Blockchain
2.2.3. Consortium Blockchain
2.2.4. Hybrid Blockchain
2.3. Contemporary Advancements in Blockchain
2.4. Challenges
2.4.1. Increased Performance
2.4.2. Interoperability
2.4.3. High Cost and Complexity
2.4.4. Lack of Supportive Regulation
3. INTRODUCTION OF BIG DATA
3.1. Types of Big Data
3.1.1. Structured
3.1.2. Unstructured
3.1.3. Semi-structured
3.2. Characterization of Big Data
3.2.1. Volume
3.2.2. Variety
3.2.3. Velocity
4. Use of Blockchain in Big Data
4.1. The Motivation for use of Blockchain in Big Data
4.2. Architectures of Blockchain
4.3. Comparative Study
4.4. Challenges and Solutions
4.4.1. Data Management
4.4.2. Risks
4.4.3. Data Security
5. Applications
5.1. Healthcare
5.2. Education
5.3. Finance
5.4. IoT
CONCLUSION
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENTS
REFERENCES
Blockchain Security Solutions for IoT and Big Data
Abstract
1. INTRODUCTION
2. LITERATURE REVIEW
3. METHODOLOGY
3.1. Security Challenges
3.1.1. Security Challenges in IoT
3.1.2. Security Challenges in Big Data
3.2. Blockchain Solutions
3.2.1. Security Solutions for IoT
3.2.2. Security Solutions for Big Data
4. RESULTS
CONCLUSION
FUTURE WORK
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
ACKNOWLEDGEMENT
REFERENCES
Advances in Computing Communications and Informatics
(Volume 1)
Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future
Edited by
Sudhir K. Sharma
Institute of Information Technology and Management
D-29, Institutional Area
Janakpuri
New Delhi
India
Bharat Bhushan
 &
 Parma N. Astya
School of Engineering Technology
Sharda University
Uttar Pradesh 201310
India
&
Narayan C. Debnath
School of Computing and Information Technology
Eastern International University
Bình Dương
Vietnam

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PREFACE

The Internet of Things (IoT) is an emerging technology that has enabled connection and communication between both virtual and physical objects, thereby improving our quality of life. The definition of IoT has evolved because of the convergence of numerous technologies such as embedded systems, commodity sensors, machine learning, and real-time analytics. IoT contributes towards the concept of connected vehicles, connected health, wearable technology, home automation, and appliances having remote monitoring capabilities. Even though these systems provide numerous advantages, the current centralized architecture brings forth numerous issues related to privacy, security, transparency, data integrity, and single point of failure. This, in turn, inhibits the future development of these IoT-based applications. Further, the radical digitization of industry coupled with the explosion of the Internet of Things (IoT) has set up a paradigm shift for industrial and manufacturing companies. Owing to these issues, it becomes necessary to integrate IoT with a distributed ledger technology. Blockchain technology, an immutable, shared, distributed ledger, is the most suitable choice for a variety of reasons. It stores the various transaction information in a peer-to-peer (P2P) network and promotes information sharing among the network users. Owing to the fault tolerance capabilities, decentralized architecture and cryptographic security benefits such as authentication, data integrity, pseudonymous identities, security analysts and researchers consider blockchain to resolve privacy and security issues of IoT. The use of hash functions, timestamps, and sophisticated cryptographic algorithms in blockchain technology enables a secure computing environment and provides a tamper-proof ledger that can safeguard against possible attacks. Also, blockchain is used in numerous applications such as healthcare, intelligent transportation, supply chain management, identity management, voting, and maintaining government records. Due to these reasons, blockchain is considered the most disruptive and emerging future technology that will provide numerous opportunities to various industries. The emerging and promising state-of-the-art IoT and blockchain technology motivated us to propose this book, focusing on various aspects of IoT and blockchain systems like trust management, identity management, security threats, and access control and privacy. The book provides a comprehensive discussion on integrating the IoT system with blockchain technology, highlights the benefits of integration, and how blockchain technology resolves the issues of IoT systems.

Sudhir Kumar Sharma Institute of Information Technology and Management D-29, Institutional Area, Janakpuri New Delhi India

List of Contributors

Aashna JhaDepartment of Electronics and Communication, Netaji Subhas University of Technology, Dwarka, Delhi 110078, IndiaAna Carolina Borges MonteiroSchool of Electrical Engineering and Computing (FEEC), State University of Campinas (UNICAMP), Campinas, São Paulo , BrazilArepalli Peda GopiVignan’s Nirula Institute of Technology & Science for Women, Peda Palakaluru, Guntur-522009, Andhra Pradesh, IndiaBharat BhushanSchool of Engineering and Technology, Sharda University, Greater Noida, IndiaC. PriyaDepartment of Information Technology, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, IndiaDeepak Kumar SharmaDepartment of Information Technology, Netaji Subhas University of Technology, Dwarka, Delhi 110078, IndiaDeepti GuptaAmity School of Engineering and Technology, Amity University, Noida, U.P., IndiaH AbhijithAmity School of Engineering and Technology, Amity University, Noida, U.P., IndiaIla KaushikKrishna Institute of Engineering & Technology, Ghaziabad, U.P, IndiaJawed AhmedDepartment of Bioengineering, University of California, Riverside, CA, USAJ. S. Shyam MohanDepartment of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (SCSVMV), Tamil Nadu 631561, IndiaK. SheelaDepartment of Information Technology, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, IndiaKhwaja M. RafiDirector, Mewat Engineering College, Palla, Distt. Nuh, HaryanaIndia,Mohd. M. HaqueSchool of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, IndiaMohammad Maksuf Ul HaqueDepartment of Computer Science, Jamia Millia Islamia, New Delhi, IndiaMohammad Sufian BadarDepartment of Bioengineering, University of California, Riverside CA, USANagendra Panini ChallaDepartment of Information Technology, Sri Vishnu Engineering College for Women, Bhimavaram, Andhra Pradesh 534202, IndiaNikhil SharmaHMR Institute of Technology & Management, Delhi, IndiaNuggu KowshikiDepartment of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (SCSVMV), Tamil Nadu 631561, IndiaPasumarthy SwathiDepartment of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (SCSVMV), Tamil Nadu 631561, IndiaRangel ArthurFaculty of Technology (FT), State University of Campinas (UNICAMP), Limeira, São Paulo, BrazilReinaldo Padilha FrançaSchool of Electrical Engineering and Computing (FEEC), State University of Campinas (UNICAMP), Campinas, São Paulo , BrazilR.S.M. Lakshmi PatibandlaDepartment of IT, Vignan’s Foundation for Science, Technology and Research, Andhra Pradesh, IndiaSaakshi BhargavaDepartment of Physical Sciences and Engineering, Banasthali Vidyapith, Tonk, Rajasthan, IndiaShazmeen ShamsiDepartment of Computer Science, Jamia Millia Islamia, New Delhi, IndiaShilpi SharmaAmity School of Engineering and Technology, Amity University, Noida, U.P., IndiaShweta PaliwalDepartment of Computer Science and Engineering, Meerut Institute of Engineering and Technology (MIET), Meerut, IndiaSomya GoyalManipal University Jaipur, Jaipur, India Rajasthan and Guru Jambheshwar University of Science and Technology, Hisar, IndiaSudhir Kumar SharmaInstitute of Information Technology and Management, Janakpuri, New Delhi, IndiaSukriti GoyalHMR Institute of Technology & Management, Delhi, IndiaSushil KumarDepartment of Computer Science, Jamia Hamdard University, New Delhi, IndiaVejendla Lakshman NarayanaVignan’s Nirula Institute of Technology & Science for Women, Peda Palakaluru, Guntur-522009, Andhra Pradesh, IndiaVishakhaHMR Institute of Technology & Management, Delhi, IndiaYuzo IanoSchool of Electrical Engineering and Computing (FEEC), State University of Campinas (UNICAMP), Campinas, São Paulo , Brazil

An Overview of Smart Grid in the Current Age

Reinaldo Padilha França1,*,Ana Carolina Borges Monteiro1,*,Rangel Arthur2,Yuzo Iano1
1 School of Electrical Engineering and Computing (FEEC), State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
2 Faculty of Technology (FT), State University of Campinas (UNICAMP), Limeira, São Paulo, Brazil

Abstract

Smart Grid is defined as an intelligent electrical distribution system that offers bi-directional energy, which flows from producers to consumers, intending to optimize use to reduce costs and improve the performance of the electricity network, which requires a balance between generators, operators, and system distributors, providing benefits , including reduced power losses, lower costs, and better measurement of consumption with better control, enabling a reduction in carbon emissions. With sensors installed in the electrical networks sending data related to energy consumption directly from the consumer unit, they enable more effective and efficient network planning. Besides, the network is designed to reduce the occurrence and duration of power outages as much as possible. In it, electromechanical consumption meters are replaced by digital smart meters, representing a true revolution in energy supply, meaning that the Smart Grid is a system that automates not only the monitoring but the entire management of electricity use. This chapter contributes to the discussion and overview of Smart Grids, their applications in the current era, as well as categorizing and synthesizing the technology's potential.

Keywords: Bi-directional energy, Data analysis, Intelligent electrical, IoT, Sensors, Smart architecture, Smart cities, Smart grid.
*Corresponding authors Reinaldo Padilha França and Ana Carolina Borges Monteiro: School of Electrical Engineering and Computing (FEEC), State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil and School of Electrical Engineering and Computing (FEEC), State University of Campinas (UNICAMP), Campinas, São Paulo, Brazil; E-mails: [email protected] and [email protected]

1. INTRODUCTION

The search for sustainability-related to digital transformation has created new possibilities for the world, with actions aimed at reducing environmental damage with a greater objective than simply saving, but it is necessary to make intelligent and conscious use of what is at disposal.

Energy management is a prerequisite for a sustainable environment, and Smart Grids are an essential pillar for its achievement. The spread of renewable energy sources has led to a profound modernization of traditional electricity distribution systems and how they are effectively distributed. Smart Grid is defined as an intelligent electrical distribution system that delivers bi-directional energy flows from producers to consumers. Unlike traditional power grids, where power is generated by only one plant and distributed to end customers through the large transformer and substation networks, in Smart Grid, end customers also act as producers [1, 2].

Internet of Things technology is enabling cities around the world to implement a series of digital transformation projects, such as reducing car traffic in major cities and energy consumption. In addition to its use in home life, IoT promises to revolutionize industries, the security market, and even the medical field. Electricity consumption was also largely impacted by technology. Efforts are being made to design and implement energy-efficient networks that use Smart Grid parameters and apply the Internet of Things, making it possible for the network to work in less time and reduce power consumption [3].

A company's entire infrastructure depends on electricity, which requires continuous management of its use. In parallel with the search for sustainability, digital transformation has also added to the creation of new possibilities for managing this resource. The concept of this trend refers to a new power distribution architecture that can automate all management of electricity use. For the Smart Grid to function, it is necessary to switch analog meters to digital meters. These are safer, and especially intelligent, devices that enable the integration of information between other connected users [4].

Smart Grid is generic for applying computational intelligence and networking skills to an electricity distribution system. In recent times, this concept has gained a lot of prominences , especially in Smart Grid projects that seek to improve operations, maintenance, and planning, ensuring that each component of the power grid can “talk” and “listen.”It is, therefore, a highly automated, efficient, self-healing, a bi-directional pathway of energy, enabling i nterconnected communications for a highly reliable and efficient utopian world of energy production and distribution [5].

Considering that in many places, a power company will only know that service is disrupted if a customer calls in a Smart Grid scenario, the company will immediately know why certain network components, such as the use of smart meters in the affected area, have stopped to send sensor data. By ensuring that all network components, from transformers and power lines to household, commercial and industrial electrical meters, have IP addresses and are capable of using bidirectional communication, the company can manage distribution more efficiently. Also, it needs to be proactive in maintenance and respond to outages faster. So, another important component of Smart Grid technology is automation [6].

Basically, it must communicate in an integrated automated way between components of the power grid, employ detection and measurement technologies, automated controls for distribution and repairs, better dashboard management, and decision support software. It is correct to say that a Smart Grid is an example of the Internet of Things (IoT), in which almost any object can be equipped with a unique identifier and given the ability to communicate over the web [7].

A Smart Grid is equipped with sensors that collect and transmit data since this information transmission allows to automatically adjust the electricity flows. Remotely located controllers are then informed of the situation in real-time and can act immediately if there is a problem occurring virtually without human intervention. Besides, this type of grid can communicate with any smart meter , for example, turn on consumer appliances automatically when there is too much electricity on the grid, and its prices are therefore lower [8].

One of Smart Grid's biggest advantages is the ability to track energy performance in real-time. Unlike the traditional meter, where consumption data is collected once a month, digital allows constant tracking. In this way, irregularities are quickly identified and predictive, preventive, and corrective actions can be taken to avoid waste and set goals to improve the company's energy consumption. Also, a more sustainable business model is established, as it enables the reduction of carbon dioxide emissions and other pollutant residues [9].

Smart Grid is a promise of a flexible, resilient, performance-safe power grid that allows network resources to be exploited in real-time to optimize productivity. Characterized by the deployment of many thousands of intelligent and interactive control devices, sensors and meters, it ensures the correct interaction between all these elements, as well as significantly improving the network's efficiency, reliability, and freedom for the end customer to control. their consumption conditions [10].

Among leading distribution automation and distributed power resource applications, this model can provide intelligent energy storage and provide real-time response to fluctuating demand. All this plus client-side demand management from a two-way conversation between devices on the network and also intelligent consumer devices on the edge of the user. In addition to placing the customer “in control” of their own energy use, this ploy ensures highly automated flexible distribution, encouraging the release or containment of consumption according to the load's circumstances over the infrastructure [11].

Just as the Internet of Energy (IoE) is a technological term that refers to the upgrading and automation of electricity infrastructures, allowing energy production to advance more efficiently and cleanly with the least amount of waste, being a derivation brought by the increasingly prominent market of IoT technology, which helped develop the distributed energy systems that makeup IoE [12].

The technology surrounding IoE can be quite a complex concept, since it is the use of IoT technology, which refers to the idea of connecting devices to the Internet with a variety of different power systems, including smartphones, tablets, and mobile devices from television to major appliances, headsets, and cars [13].

IoT is reaching a branch of applications by creating a sensor network with multiple possibilities such as power monitoring and demand-side power management, and IoT-enabled consumer appliances could help balance energy demand, who operate in a scenario since a washing machine can be connected to the internet and turned on only when there is sufficient solar power on the grid, even for consumers, the use of off-peak energy can save money [7, 12, 13].

Therefore, this chapter aims to provide an updated overview of Smart Grids, showing and approaching its success relationship, with a concise bibliographic background, categorizing, and synthesizing the potential of technology.

The present chapter is organized as follows: Section 2 argues Smart Cities concepts. Section 3 lectures the Smart Grid concepts. Section 4 speaks about Smart Grid and its infrastructure. Section 5 presents how a current discussion around the technologies covered. In section 6 the conclusions of the research are presented, finally, Section 7, presents future trends for Smart Grid.

2. SMART CITIES CONCEPTS

Cities are achieving rapid evolution along with increasing population levels, while new challenges are appearing in parallel, which leads to the need for public development aiming at continuous improvements that support more quality of life. It is in this sense that smart cities, with the concept that involves the need to build a city adapted to current needs, and, at the same time, prepared for the future, focused on improving the comfort of its inhabitants, allowing more efficient mobility, to have connectivity and to be sustainable, are planned together with digital transformation, creating more opportunities for the population and economic growth [14].

Smart Cities are those that use information and communication technologies to provide more security, socioeconomic stability, sustainability, and reduced cost of living, that is, it is an innovative urban ecosystem characterized by the widespread use of technology in the management of its resources and infrastructure, i.e., in a smart city where everything becomes connected, it is possible to have high-speed public Wi-Fi for everyone and the interconnected functioning of lighting, traffic, public transport systems, among others. Thus, technology and innovation are merged in a coordinated and integrated way with the traditional urban infrastructure [15].

In many cities across the globe, this evolution is still in its early stages and presents several challenges related to the provision of essential services in an intelligent way, such as energy, transport, health, education, among others. Therefore, for a city to be considered intelligent, the environment, the economy, and society must be interconnected and coexist, creating a unified ecosystem, i.e., this process involves several aspects of development, such as efficiency and management of public lighting and telecommunications networks that allow offering services in real-time to connected users, development of mobility solutions to save time and reduce pollution, buildings with positive energy coefficient, optimization of waste management, for example. Infrastructure is essential to define how the main services will be made available, offering several possibilities of support with the promotion of the effectiveness of the processes [16].

Digital Cities are not only synonymous with Smart Cities, since the first focus only on the implementation of free internet signal distribution points throughout the territory, while the second represents all unified technologies, with a connection between the various technological initiatives, resulting in the efficiency in the use of resources, mobility, and services [17].

The resources are used to promote public policy based on some important points in population development, improving the quality of life and the services offered, such as urban and organizational planning; improving transportation services, and developing new models that can be sustainable and affordable for the entire population; better community life; easy mobility; modern architecture and infrastructure; advanced technologies and resources; clean energy; more efficient and organized emergency services, being possible, mainly related to the optimization of response times; implementation of technologies in school environments, with easy access to equalizing the opportunities of all students; as well as the replacement of printed teaching materials with digital versions [18].

Smart Cities is an urban model based on the use of information and communication technologies, approaching the vision of the future built on decisive, independent, and conscious attitudes of the different actors of the urban space, such as government, civil society, and academia in the dimensions of economy, governance, mobility, people, environment and quality of life. Where common aspects are environmental issues (energy production, waste management, and others), communication between different users (companies, collectives, institutions, and individuals), use of information and communication technologies to improve the operational functioning of the network, social aspects (health care, education and cultural services available) and urban efficiency [19].

The phases of building a smart city range from public lighting networks to remote management of urban equipment, electromobility, applications for the operation and maintenance of urban assets and interface with citizens, distributed energy generation, hypervisor, and operation centers. Technological resources allow for a more balanced urban expansion, aiming at sustainability and democracy. Enabling the reduction of the barrier that exists between citizens and the administration, through technological resources that make it possible to obtain information and services [20].

Since one of the main objectives of the smart city is to promote sustainability, that it is necessary to have planned, acting in the whole process of implantation, review, operation, and maintenance of resources, from the most common ones as urban lighting to reach, among others objectives, energy savings with luminous efficiency and high availability rates, aiming at an efficient functioning of the commercial, residential and business areas of the region, making it easier to obtain services and leisure, also counting on the distribution of green areas, encouraging integration between all built environments. In addition to lighting, traffic lights, and equipment for remote management, which help to streamline and optimize traffic control, contributing to improving the environmental quality of emblematic urban buildings and improving the management capacity of cities with intelligent technology applications [21].

The development of transport infrastructures, with intelligent electric trams, recover the energy generated by braking, or even with the installation of charging stations for electric vehicles. Creating an intelligent ecosystem with the principle of respecting and promoting ecological actions, paying attention to sustainable eco-development. Thus, there is a concern to reduce heat islands, making the distribution of green areas more functional, generating well-being for the population, and still considering a view of nature [14, 18, 21].

Smart City is a concept based on recent technological innovations that make municipalities optimized, enabling planned growth for the benefit of human beings, since naturally the concept is also designed to focus on the population and the essential measures for its good functioning, implementation of urban environments based on interaction and social inclusion [15, 20, 21].

Thus, smart cities tend to improve people's lifestyles, helping the environment, management, and the community to get involved with more quality and efficiency, combining fundamental elements such as transformative social project, sustainability, and administrative autonomy, evaluating categories such as mobility, environment, technology and innovation, urbanism, economy, education, health, security, entrepreneurship, governance, and energy. Which generates a transformation of urban infrastructures, integrating the citizen, and adding management and sustainability capacity for the construction of increasingly intelligent cities [16, 21, 22].

3. SMART GRID CONCEPTS

Energy management is a requirement for a sustainable environment and smart grids represent an essential pillar for its achievement since the dissemination of renewable energy sources has led to a profound modernization of traditional electricity distribution systems and in the way of distribution over there. Together with the search for sustainability, the digital transformation has also added to the creation of new possibilities for the management of electric energy, aiming at reducing environmental damage with the objective of more than simply saving, that is, making intelligent and conscious use. Therefore, a way was developed to optimize energy production intelligently using technology such as IoT, giving rise to Smart Grid [1, 2, 20-22].

Smart Grid is generic for the application of computational intelligence with Internet of Things (IoT) devices, in which almost any object can be equipped with a unique identifier and receive the ability to communicate through the web, and network resources to one electricity distribution system, provided that the Internet of Things (IoT) technology allows the implementation of a series of digital transformation projects [3, 21, 22].

3.1. Smart Grid and IoT

Considering the concept of IoT where all digital devices can interconnect, using the internet, making it possible to remotely control all connected devices since the technology has known potential for revolution and industrial innovation such as the automobile, security, medical, smart cities, and recently electricity consumption. And so, allowing users to integrate communication systems, control energy and electrical flow, measure consumption, monitor the health of their systems, and automate their energy systems, among other applications [23].

Characterized by the implementation of many thousands of control devices, sensors that allow to automatically adjust the electricity flows, controllers that are located remotely, are informed of the situation in real-time and can act immediately if there is a problem, practically without the need for intervention human, and interactive and intelligent meters, Smart Grid not only guarantees the correct interaction between all these elements, but also provides the expressive improvement of the network in terms of efficiency, reliability, and freedom for the final customer to control their consumption conditions [24].

Smart Grid is not a project to be implemented but an evolution, in this sense it is necessary to plan the implementation of an architecture that, continuously, includes new technologies adopted, always taking into account the importance of integration between them. The implementation of Smart Grid, in practice, means in cutting edge technologies, such as IoT, Artificial Intelligence, and cloud computing, implementing sensors and software to deal with this information, making the devices installed on the network allow the identification of fluctuations or peak consumption at certain points, causing this captured data to be sent to the software, which can generate reports or act according to pre-established measures [2, 6, 24].

3.2. Smart Grid Applications

Besides, this type of network can communicate with any smart meter and, connecting consumers' appliances automatically at specific times to reduce financial expenses with electricity, for example. Thus, the monitoring and exchange of information on energy flows are additional applications of Smart Grids, through this use of smart meters, automatic control devices, smart switches, and appliances, making the Grid able to anticipate demands in advance expected energy consumption and adapt production and consumption, consequently avoiding peak loads, eliminating possible blackouts and acting promptly in case of failures [4, 24].

Among the main automation applications through Smart Grid, distributing and generating distributed energy resources, especially in smart grid projects that seek to improve operations, maintenance, and planning, ensuring that each component of the power grid can “speak” and "listen", are the possibility to provide intelligent energy storage and offer a real-time response to fluctuations and demand management from the client-side, based on "bidirectional conversation" between devices on the network and consumer devices as well on the user's edge [25].

From the customer's point of view, information related to electricity consumption can also be delivered, to raise awareness about consumption habits and encourage more rational use of energy, giving “control” of your own energy use, ensuring flexible distribution highly automated, encouraging the release or containment of consumption according to the circumstances of the load on the infrastructure. Since the distributors can offer incentives to conscious consumption or even flexibility in the tariffs charged according to the consumption profile [26].

From a structural point of view, a distributor will only know that the service is interrupted if a customer complaint, in contrast, in a Smart Grid scenario, the company will know immediately why certain components of the network, considering the smart meters in the affected area have stopped sending sensor data. Therefore, obtaining a vision of an automated, efficient, and self-recovering bidirectional way of energy and interconnected communications, suggesting a highly reliable and efficient energy production and distribution environment [5, 26].

In the context of Smart Grid, it is ensured that all components of the network, from transformers and power lines to domestic, commercial, and industrial electrical meters, have IP addresses and can use bidirectional communication, enabling more distribution management efficiency. Still considering the proactive ability to maintain and respond to interruptions more quickly. However, one of the biggest problems with the deployment of these many thousands of smart devices and characterized by dispersion is exactly how to control them. Related to the dissemination of control points, making a control issue highly critical, that is, there is a great demand for resources to ensure communication with each of these devices and protect them from cyber threats [27].

In this respect, encryptions with a minimum key size of 128 bits are the minimum initial criteria for protecting the data flow and devices in this configuration, since 256-bit keys are indispensable. As well as public-key infrastructure technology (PKI), consisting of a system of resources, policies, and services that support the use of public-key cryptography to authenticate the parties involved in the transaction. There is no single standard that defines the components of public-key infrastructure, but a public-key infrastructure generally includes Certification Authorities (CAs) such as Issuing digital certificates, validating digital certificates, Revoking digital certificates, and public-key distribution and Registration Authorities (RAs). The most suitable technology to ensure that each device has a unique key so that in case an invasion occurs on a device, it does not mean access to the entire system [28].

3.3. Smart Grid Advantages

One of the biggest advantages of Smart Grid is the possibility of monitoring energy performance in real-time, in contrast to the traditional meter, in which consumption data is collected once a month, digital allows constant monitoring. Another important component of Smart Grid is automation since it is present in the integrated automated communication between components of the electrical network; automated controls for distribution and repairs; detection and measurement technologies; better management of dashboards and decision support software, among other aspects. In this way, irregularities are quickly identified, and predictive, preventive, and corrective actions can be adopted avoiding waste and establishing goals that improve energy consumption, whether for the company or the end customer, establishing a more sustainable business model enabling the reduction of emissions carbon dioxide and other polluting waste [4, 28].

Making a contrast analogy between the characteristics that differentiate a traditional electrical network from a Smart Grid are the flexibility, which facilitates the management of variations in generation and consumption; accessibility related to all the different energy sources that can be integrated into the network, and due to the interconnections present, consumers can take advantage of the renewable energy generated in large quantities in distant regions, when there is not enough in the locality; reliability due to information sent in real-time and remote network management, the risk of power outages and incidents is reduced; and from an economic point of view concerning better management results in reduced costs [29].

In this way, Smart Grids is defined as an intelligent electrical distribution system that offers bi-directional energy flows from producers to consumers, which benefit from reduced power losses, lower costs, and better measurement of consumption with better control, enabling a reduction in carbon emissions. Still considering that with Smart Grid, end customers also act as producers, which, unlike traditional energy networks, energy is generated only by a plant and distributed to end customers through large networks of transformers and substations. In the context of energy production in Smart Grid, the energy produced by consumers in “microgrids”, which can be through wind turbines, solar panels, among other forms, is sent to the main Grid, which, in turn, performs the management and storage [30].

Thus, a Smart Grid is an intelligent electrical network that reduces costs, optimizes management, and enables better control by electric companies, domestic consumers, and companies. They can also be integrated with Smart Cities for the development of other services, taking energy performance to a new level, ensuring quality, safety, and financial return. As long as there is an efficiently planned system, it allows adaptation, monitoring, and administration in real-time energy consumption, avoiding failures to the multiple energy sources connected to the system. It is a trend that not only solves infrastructure problems but can be considered a first step for cities and companies to take their intelligent path through the digital age [30, 31].

4. SMART GRID INFRASTRUCTURE

Smart meters are devices used to measure electricity consumption regularly and the integration of the electrical network as a whole is facilitated by the large flow of information through them, as long as they allow the bidirectional flow of energy, in addition to performing the collecting a lot of information about consumption. It is also possible to know the offers and demands of energy in each region and their respective variations over time, which through this information makes it possible to achieve a better distribution of energy avoiding that there is little supply for regions that have a lot of demand. In this sense, more detailed energy monitoring and charging can be done, compared to traditional meters [32].

A Smart Grid is composed of a structure composed of basically three networks taking into account that each household has its own network, consisting of a HAN (Home Area Network) which is the smallest of the networks and is present in each residence, and is composed of microgeneration’s of each household, such as solar panels on the roof of the houses and smart energy-consuming devices, it connects these smart, energy-consuming devices, and micro-generations if any. Regarding all information and data related to the electrical consumption and energy production of each HAN, the occurrence of blackouts, and the overall quality of energy use are stored in a smart meter [33].

In the same sense that the set of several meters in a neighborhood makes up a NAN (Neighborhood Area Network), since the energy demand of several NANs in a region is sent to a data concentrator, which processes this information and sends it to the concessionaire, considering also that each such NAN network sends the information to a data concentrator, which is connected to the measurement management center via a WAN (Wide Area Network) network. Thus, a HAN is the home network, at that same level there is the BAN (Bussiness Area Network), which is a type of commercial network; the NAN would be the neighborhood network comprising multiple HAN; and finally, the WAN encompasses multiple NANs. In the same way that a type of protocol is necessary for this communication since many of the meters and sensors, smart generators, and other IoT devices have some type of information processing done by microprocessors, it is convenient to use communication protocols similar to those of computer networks [34].

One of these protocols that can be used is DNP3, which has functions equivalent to some layers of the OSI model, having functions for data multiplexing and also division and packaging functions, it is an open-source communication protocol, it defines two types of stations, a master and another slave/outstation, which is useful for using different devices in the same medium, data prioritization, error checking, addressing services (data link layer), transport (transport layer) and functions application (application layer), for an interface between the user and the system because it enables the communication between devices within an automation system such as smart grids [35].

Another example is PROFINET which is an Ethernet-based protocol for connecting process devices such as sensors, actuators, and devices similar to control systems, following the IEEE 802 Ethernet standard in IEC 61784 and IEC 61158, meaning the possibility of connecting an appliance and an electric meter on the same network. Just like PROFIBUS, which is a traditional digital protocol based on serial communication [36, 37].

Furthermore, the TCP/IP (Transmission Control Protocol/Internet Protocol) protocols are the main protocol for sending and receiving data over the internet. And UDP/IP also based on the sending of information packets to speed up the data sending process but removing all the error checking part of TCP/IP, since all the communication steps necessary to verify the integrity of a package and to resend it, if necessary, contribute to slowing it down. The use of these protocols due to the wide use of such protocols on the internet, facilitates, even more, the creation of the internet of things, in which all devices are smart and connected to the internet [38].

However, the implementation of the smart grid is still a slow, costly process, both the installation of its infrastructure and the equipment that the user must have access to obtain the benefits of the smart grid, such as solar panels, for example and is still in progress development around the globe and it is a distant reality for developing countries [39, 40].

Still considering the disadvantage concerning opportunities for fraud and cyber-attacks, it is necessary to invest more in this area, because the number of such devices on the network is large, causing immense growth in the data flow, which is constant. Still reflecting on another point that is the existence of protocols that are proprietary that many energy distribution companies create to make their automation systems [39, 40].

5. DISCUSSION

Many large urban centers around the world, housing millions of inhabitants, still have little planning and unrestrained growth based on car dependence, facing a series of challenges such as lack of mobility, floods, heat islands, polluted rivers, among other aspects. Resolving these bottlenecks is not a simple task, but it is possible. Requiring smaller projects, local actions, with the application of intelligence on urban roads that can be the start for a giant transformation, it is necessary to start small and then scales, that is, start to apply solutions in condominiums, neighborhoods, and finally, have a sustainable city, for example.

Large cities have a challenge ahead of them in terms of infrastructure problems and, at the same time, integrate into the digital age, and in this scenario, Smart Grids for smart cities can enable various utilities, such as remote lighting monitoring, public security, water and gas supply, electricity distribution and traffic control.

The transformations of cities reflect the wishes and new behaviors of society, however, in certain dimensions of the smart city, technology has a more decisive role, such as in energy networks, mobility, and management of natural resources; while, on the other hand, there are dimensions where they do not have as much protagonist, such as education, culture, social and political inclusion. In parallel, governments, companies, and institutions must adhere to the ecosystem of a Smart City and Smart Grid promoting actions for sustainable and technological development, always focusing on people.

Technology is just one of several resources that can result in greater economic, human, and environmental sustainability in smart cities since the effectiveness of these systems concerning the objective of the concept of a smart city will depend on the results they present in a perspective centered on citizens taking into account scalable alternatives that can be adopted to improve the quality of life. For cities to become more and more intelligent, understanding the smart city not only by the use of digital technologies, but by the evaluation of categories such as mobility, urbanism, economy, education, health, environment, technology and innovation, security, entrepreneurship, governance, and energy, to remodel the infrastructure of an urban center, considering the joint efforts of the public and private sectors, in addition to civil society initiatives.

5.1. Infrastructure generated by Smart Grid

Creation of distributed green infrastructure to improve drainage, microclimate, biodiversity, and access to free areas, for example with the construction of bio-valets and rain gardens, which respect the natural course of the land, leading rainwater to spaces with native plants, forming natural gardens rich in biodiversity, removing the overload of the public network and restoring the natural hydrological cycle with the recharge of the water table.

Considering the efficient water management as to the control and treatment of rainwater and sewage, control and restoration of floods, and adopt innovative measures to protect watersheds. In addition to not suffering from polluted rivers and supply crises, its inhabitants find sources of drinking water in different parts of the city. Use of energy-saving systems and generation of energy from renewable sources, encouraging the use of alternative energies such as solar and wind. Data transparency and civil society engagement with the use of Big Data as a powerful tool for the education and engagement of the population in public management, providing data and graphics without any filter, separated by social sector such as Health, Housing, Environment, Transport, among others, transparently and automatically, essential for the cooperative management of the smart, democratic and inclusive city.

In a didactic context what turns the cell phone into a smartphone is the computer that exists within it, in this analogy, Smart Grids through all the technology inserted in it, take the electrical network to the digital age. Since these smart grids need to be composed of smart electronic meters at various stages of the transmission and distribution of electricity.

P eople are consuming more and more electricity every day, in addition to essential equipment for any home, such as an electric shower, refrigerator, television, coffee maker, microwave, cell phones and chargers, computers and notebooks and, a multitude of gadgets, iron ironing, among several other appliances, and to save natural and financial resources, it is necessary to reduce energy consumption or consume it more intelligently. For this purpose, Smart Grid emerges as an efficient system.

5.2. Smart Grid as an Instrument of Innovation

Smart Grid is a system that automates not only the monitoring but the entire management of electricity use. This technology is based on a new, more secure, and intelligent electricity distribution architecture, which promotes integration and enables actions for users connected to it. Due to the high level of added technology, smart grids can respond to various demands of modern society, both in terms of energy needs and concerning sustainable development.

Smart grids are intelligent networks for the transmission and distribution of energy, which control the generation of energy and avoid overloading the network since all the time only as much energy is generated as necessary, based on interactive communication between all parts of the network energy conversion chain, connecting decentralized large and small power generation units with consumers to form a broad structure.

Smart grids have also been identified as a providential tool for countries to adjust to the demands resulting from the Kyoto Protocol, since this has the objective of reducing the emission of greenhouse gases and the consequent global warming, to mitigate the impact of environmental problems caused by the models of industrial development and consumption in force on the planet. What considers the power generation systems of developed countries are based on the consumption of fossil fuels, i.e., the main emitters of gases that cause the greenhouse effect. In these countries, smart grids are identified as the instrument that will allow the dissemination of renewable energy sources, through the concepts of distributed generation and microgeneration. Smart grids allow the connection of small wind generation systems (driven by the force of the wind) and photovoltaics (plates that take advantage of sunlight) and in low voltage consumers (residential and commercial customers), in addition to enabling the operation of these systems in tune with the entire electrical system. In this way, it will be possible to expand power generation in a decentralized way (without the need to build large and expensive generation projects), and in a pulverized way (allowing the final consumer to be a micro-generator of energy).

5.3. Smart Grid Benefits

Smart Grids use the roofs of the houses to generate solar energy since the photovoltaic roof generates a good amount of electricity. Without the smart grid, a house that manages this energy is restricted to charging batteries, like those of the electric vehicle. With it, the house can supply this energy to the grid, in addition to storing it in its batteries. This avoids waste,after all, it is the intelligent use of energy generation that will not be consumed or stored. Still considering that electric cars can help in storage and smart grid, in distribution. What is far beyond electrification of transport, is a form of energy use that does not generate pollution, i.e., electric energy.