Wireless Sensor Networks: Principles and Practice

Capable of providing a high order of spatial and effective resolution for an ever-increasing number of applications, wireless sensor networks (WSNs) still pose a few unresolved challenges and optimization problems in the design of network architectures, protocols, and algorithms.

Written by award-winning engineers whose research has been sponsored by the U.S. National Science Foundation (NSF), IBM, and Cisco's University Research Program, Wireless Sensor Networks: Principles and Practice addresses everything product developers and technicians need to know to navigate the field. It provides an all-inclusive examination of the major WSN technology, standards, and current application topics.

Using straightforward language, the text makes complex concepts and processes easy to understand. It covers hardware design, medium access control, routing schemes, transport protocols, OS support, middleware, data management, localization, synchronization, security, actuator/underwater/video sensor networking, power control, sensor simulations, and emerging research. This authoritative resource includes a wealth of exercises, end-of-chapter reviews, detailed case studies, as well as practical sensor network design cases that touch on medical applications.

Complete with class labs that illustrate how to apply concepts to the development and application of WSNs, this book spells out the steps of design and implementation needed to address real-world challenges and optimization problems.

A CD with instructional resources, including solutions to exercises and lab materials, is available upon qualified course adoption. More

Dr. Fei Hu is an associate professor in the Department of Electrical and Computer Engineering of the University of Alabama, Tuscaloosa, USA. His research interests include sensor networks, wireless networks, network security and their application to Bio-Medicine. His research has been supported by U.S. NSF, Cisco, Sprint, and other sources. He obtained his Ph.D. degrees at Tongji University, Shanghai, China, in the field of Signal Processing, and at Clarkson University, New York, USA, in the field of Electrical and Computer Engineering. He holds M.S. and B.S. degrees in Telecommunication Engineering from Shanghai Tiedao University and has published over 100 journal/conference papers and book chapters.

Dr. Xiaojun Cao is an assistant professor in the Computer Science Department of Georgia State University. He received his Ph.D. degree in Computer Science and Engineering from the State University of New York at Buffalo. Dr. Cao's research has been sponsored by U.S. National Science Foundation (NSF), IBM and Cisco's University Research Program. He is a recipient of the NSF CAREER Award, 2006-2011. Dr. Cao is working on modeling, analysis, and protocols/algorithms design of communication networks. Important among these are Optical Networking, Waveband Switching, Optical Burst Switching, Mobile Ad hoc Networks, Sensor Networks and Security, and Optical Wireless Communications.He holds a B.S. degree from Tsinghua University as well as a M.S. from the Chinese Academy of Sciences. More

BASICS

Introduction
MAC Layer
Routing
Other Communication Issues
Sensor Localization
Clock Synchronization
Power Management
Special WSNs
WSN Applications

ENGINEERING DESIGN

Hardware - Sensor Mote Architecture and Design
Components of a Sensor Mote
Put Everything Together
Mica Mote Design
Customized Mote—Spec
COTS Dust Systems
Telos Mote
CargoNet

NETWORK PROTOCOL STACK

Medium Access Control in Wireless Sensor Networks
Overview of Project IEEE 802.11
Classification of MAC Protocols

Routing in Wireless Sensor Networks
Introduction
Layout for the Chapter
Classification of Routing Protocols in WSNs
Data-Centric Routing Protocols in WSNs
Hierarchical Routing Protocols in WSNs
Location-Based Routing Protocols in WSNs
Multipath and QoS-Based Routing
Transport layer in Wireless Sensor Networks
Pump Slowly, Fetch Quickly
Another WSN Transport Protocol—ESRT
E2SRT: Enhanced ESRT Performance
CODA: Congestion Detection and Avoidance in Sensor
STCP: A Generic Transport Layer Protocol for WSNs
GARUDA: Achieving Eff ective Reliability
COMPUTER SCIENCE PRINCIPLES

Operating System in Sensors
TinyOS
LA-TinyOS—A Locality-Aware Operating System for WSNs
SOS
RETOS

Middleware Design in Wireless Sensor Networks
Introduction
Reference Model of WSN Middleware
Middleware Example: Agilla
Middleware for Data Acquisition: Mires
Data Storage: DSWare
WSN Runtime Support Example: Mate
QoS Support Example: MiLAN

Sensor Data Management
Sensor Data Cleaning
TinyDB: An Acquisitional Query-Processing System for Sensor Networks
Data Aggregation: AIDA
Sensor Data Storage: Tiered Storage ARchitecture (TSAR)
Multi-Resolution Data Processing
ADVANCED TOPICS

Sensor Localization
Elements of Localization
Using Mobile Robots for Sensor Localization
Sensor Localization with Multidimensional Scaling
Localization in Wireless Sensor Networks
GPS-Free Node Localization in Mobile WSN
A High-Accuracy, Low-Cost Localization System for WSN
LOCALE: Collaborative Localization Estimation for Sparse Mobile Sensor Networks
On the Security of WSN Localization

Time Synchronization in Wireless Sensor Networks
Synchronization in General Networks (Non-WSN)
Clock Synchronization in WSNs
Evaluation of Synchronization Performance
Examples of WSN Synchronization Protocols
Problems and Exercises

Security and Privacy in Wireless Sensor Networks
Attack and Countermeasure Example: Wormhole Attack
WSN Security Example: Blom-Based Approach
Broadcast Authentication: μTESLA
Practical Security Schemes for “Motes”
Special Case: Secure Time Synchronization in WSNs
SPECIAL WIRELESS SENSOR NETWORKS
Wireless Sensor and Actor Networks
Sensor-Actor Coordination Problem
Hierarchical Sensor-Actor Coordination Mechanism
Underwater Sensor Networks
USN Protocol Stack
MAC Design Example
Routing Design Example: Vector-Based
Hardware Prototype Design

Video Sensor Networks
Panoptes
Cyclops
VSN Calibration
SensEye

MISCELLANEOUS TOPICS

WSN Energy Model
Basic WSN Energy Model
Simulation-Based Energy Modeling
Battery-Aware Routing

Sensor Network Simulators
GloMoSim
SensorSim
TOSSIM
PowerTOSSIM

CASE STUDIES
Case Study 1: Tele-Healthcare
MASN Hardware Design
Reliable MASN Communication Protocols
MASN Software Design
Integration of RFID and Wearable Sensors

Case Study 2: Light Control
Illumimote’s Sensors
System Architecture Calibration
System Evaluation
Light Control

Each chapter begins with an "Introduction" and concludes with "Problems and Exercises" More