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In this title, the authors leap into a novel paradigm of scalability and cost-effectiveness, on the basis of resource reuse. In a world with much abundance of wirelessly accessible devices, WSN deployments should capitalize on the resources already available in the region of deployment, and only augment it with the components required to meet new application requirements. However, if the required resources already exist in that region, WSN deployment converges to an assignment and scheduling scheme to accommodate for the new application given the existing resources. Such resources are polled from many fields, including multiple WSNs already in the field, static networks (WiFi, WiMAX, cellular, etc) in addition to municipal, industrial and mobile resources.The architecture, framework and pricing policy, as well as approaches for backward compatibility with existing deployments, are presented in this book. We elaborate on the formalization of the problem, and contrast with existing work on coverage. This paradigm adopts optimal assignments in WSNs and exploits dynamic re-programming for boosting post-deployment and backward compatible protocols.
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Seitenzahl: 190
Veröffentlichungsjahr: 2014
Contents
Preface
List of Acronyms
List of Notations
1 Evolution of Wireless Sensor Networks
1.1. The progression of wireless sensor networks
1.2. Remote sensing: in retrospect
1.3. Inherited designs and protocols from MANets
1.4. Book outline
1.5. Summary
1.6. Bibliography
2 Shifting to Dynamic WSN Paradigms
2.1. The hurdle of static operation
2.2. Versatile operating systems
2.3. Dynamic reprogramming
2.4. The rise of service-oriented WSNs
2.5. Crowd sensing
2.6. Bibliography
3 Resilience and Post-Deployment Maintenance
3.1. Impact of harsh environments on network design
3.2. High failure proneness (of nodes and communication)
3.3. Post-deployment maintenance
3.4. Re-deployment
3.5. Self-re-distributing SNs and mobility
3.6. Bibliography
4 Current Hindrances in WSNs
4.1. Lack of consensus
4.2. Resource underutilization in the black-box paradigm
4.3. Redundant deployments
4.4. Single-application paradigm
4.5. Redundancy to boost resilience
4.6. IPv6 and enabling internet connectivity
4.7. Bibliography
5 Cloud-Centric WSNs
5.1. Introduction
5.2. The evolution of cloud-centric architectures
5.3. SOA and SODA
5.4. Hindrances in adopting cloud-centric WSNs
5.5. Future directions
5.6. Bibliography
6 The Resource-Reuse WSN Paradigm
6.1. Contributions of the RR-WSN paradigm
6.2. RR-WSN: system model
6.3. Bibliography
7 Component-Based WSNs: A Resilient Architecture
7.1. Component-based DWSN architecture
7.2. WDSN in operation: the synergy of dynamic sensing
7.3. Resilience model
7.4. Bibliography
8 Dynamic WSNs – Utilizing Ubiquitous Resources
8.1. System model and assumptions
8.2. Optimal mapping
8.3. BIP formulation
8.4. Novel performance evaluation metrics
8.5. A note on tractability
8.6. Bibliography
9 Realizing a Synergetic WSN Architecture for All Resources
9.1. Introduction
9.2. Motivation and background
9.3. System model – arbitrators for WSNs with transient resources
9.4. Resource attributes
9.5. Transient resources – a special case
9.6. Mobility models
9.7. Usage cost
9.8. On maximal matching and construed equality between resource providers
9.9. Bibliography
10 Future Directions in Sensor Networks
10.1. Why applications should not be the sole drive
10.2. Ode to formal design over mere analysis
10.3. The call for synergy
10.4. The rise of biosensors, nano-networks and intelligent prostheses
10.5. Bibliography
Index
To my father, Dr. Mohamed Atef, with much love.
Sharief
To my loving family.
Hossam
First published 2014 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc.
Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA. Enquiries concerning reproduction outside these terms should be sent to the publishers at the undermentioned address:
ISTE Ltd27-37 St George’s RoadLondon SW19 4EUUKwww.iste.co.uk
John Wiley & Sons, Inc.111 River StreetHoboken, NJ 07030USAwww.wiley.com
© ISTE Ltd 2014
The rights of Sharief M.A. Oteafy and Hossam S. Hassanein to be identified as the authors of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988.
Library of Congress Control Number: 2014941615
British Library Cataloguing-in-Publication DataA CIP record for this book is available from the British LibraryISSN 2051-2481 (Print)ISSN 2051-249X (Online)ISBN 978-1-84821-531-3
Preface
The rapid evolvement of telecommunications has created a significant drift in views and definitions. Desperate attempts at defining systems in this domain have often yielded either vague or sparse statements. This is especially true of wireless sensor networks (WSNs), which are the subject of this book.
Instead of listing what WSNs are and what they are not, we emphasize an alternative to dated and stalled definitions. This book adopts a progressive view of what WSNs encompass and represent, and their evolvement and dependence on different research domains from their realization, to this date, and the projected future.
In our pursuit to summarize substantial research domains contributing to WSN literature, we assume some liability in background for this book’s readership. Although the emphasis of this book is presenting self-explanatory topics, it is important to note that a background in telecommunications is of significant aid. The material of this book is non-introductory, and is not typical of undergraduate courses.
Having said that, we address researchers and practitioners alike. The impact and growth of WSNs is evident in everyday technologies. The disparately growing literature of ten places all interested parties in a state of confusion. As a technology, WSNs were primarily developed under an application-specific tailoring paradigm. Recent efforts to generalize their application and standardize approaches in design and maintenance have yielded significant compatibility issues. More importantly, the practitioner today is often faced with contradicting designs and results, so that resorting to application-specific practices seems the only reasonable alternative.
In this book, we adopt a modular approach in understanding the evolution of WSNs, and how different technologies have aided and advanced the current status quo. More importantly, we draw upon current trends and manifestations of WSN literature, to project the future of sensing systems at large; especially as we move into an era of the Internet of things (IoT) and information centric networks (ICNs).
As such, this book is organized to progress with readership through this evolution track, to present a chronological order for advancements and technologies impacting WSNs. The book is organized into three core components. Namely, introduction and evolution, co-existing and potentiating technologies, and finally an encompassing dynamic resource reuse paradigm. We conclude this book with a chapter dedicated to the most promising future outlooks in WSN development; most notably in synergy with the prominent tides of IoT and ICNs.
List of Acronyms
BAN
Body Area Network
BLE
bluetooth low energy
BMI
brain-machine interface (in control of dynamic prosthesis)
CSMA
carrier sense multiple access
CSMA/CA
carrier sense multiple access/collision avoidance
dB
power relative to 1 mW (for RF transceivers)
DCN
dynamic core node
DLNA
digital living network alliance
DTN
delay tolerant network
DWSN
dynamic wireless sensor network
FPS
frames per second (for a camera)
GPS
global positioning system
ICN
information centric networks (also known as CCN)
IETF
Internet Engineering Task Force
INS
inertial navigation system
IoT
Internet of Things
IPv6
internet protocol (IP) version 6 (replacing IPv4)
LoS
line of sight
LP
linear programming
MANet
mobile
ad hoc
network
MCU
micro-controller unit
MEMS
micro electro-mechanical systems
MILP
mixed integer linear programming
MTTF
mean time to failure (mean uptime of system)
MULE
mobile ubiquitous LAN extensions
OAP
over the air programming (of SNs)
P2P
peer to peer (network communication)
PoF
potential functions (in RR-WSN)
QoR
quality of resource
QoS
Quality of Service
ReP
resource pool (in RR-WSN)
RFID
radio frequency identification
RR
resource reuse
RR-WSN
resource reuse – in wireless sensor networks
RSSI
received signal strength indicator
Rx
receiver/receive
SLA
service level agreement
SN
sensor node
SODA
service-oriented device architecture (SODA)
Tx
transceiver/transmit
ULS
ultra large scale
VH
vertical handoff (over wireless access technologies)
VoR
value of resource
WASN
wireless actuator sensor network
WDC
wireless dynamic component
WMSN
wireless multimedia sensor network
WSN
wireless sensor network
ZED
ZigBee end device (under a ZigBee protocol stack)
ZR
ZigBee router (under a ZigBee protocol stack)
List of Notations
“What a heavy burden is a name that has become too famous”
– Voltaire
We have come quite far since cavemen utilized fire to detect lions approaching their caves. Fire, serving both as a deterrent and a detector (via resulting shadows), was one of man’s earliest sensing mechanisms. Thousands of years later, we have the technology to detect traces of pheromones, intrusion of malaria-mosquitoes, send biological sensors down the blood stream and report forest fires by harvesting power from the pH imbalance surrounding tree roots. Not long after the emergence of wireless networks, practitioners integrated wireless tethering to deliver sensing into regions never thought possible; both in the extremities of the Earth, and within our own bodies.
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