Distributed Sensor Networks, Second Edition

Distributed Sensor Networks, Second Edition: Two Volume Set

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ISBN 9781439862896
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  • Provides the most comprehensive compilation of research on sensor networks
  • Presents sufficient background for technically literate nonexperts to fully understand the issues
  • Includes 22 new chapters, along with significant updates to existing material
  • Adds new coverage of software issues and sensor network history and future perspectives
  • Expands the section on example applications to include insights from those with practical experience


The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for students or as research material for engineers, the book gives readers up-to-date, practical insight on all aspects of the field.

Now split into two volumes, this second edition has been revised and expanded with over 500 additional pages and more than 300 new illustrations. This edition incorporates contributions from many veterans of the DARPA ISO SENSIT program as well as new material from distinguished researchers in the field. It offers 13 fully revised chapters and 22 new chapters, covering new perspectives on information fusion, the latest technical developments, and current sensor network applications.

Image and Sensor Signal Processing (ISBN: 9781439862827):

  • Overview
  • Distributed Sensing and Signal Processing
  • Information Fusion
  • Power Management

Sensor Networking and Applications (ISBN: 9781439862872):

  • Sensor Deployment
  • Adaptive Tasking
  • Self-Configuration
  • System Control
  • Engineering Examples

Table of Contents


Microsensor Applications, David Shepherd and Sri Kumar
Interfacing Distributed Sensor Actuator Networks with the Physical World, Shivakumar Sastry and S. Sitharama Iyengar
Contrast with Traditional Systems, Richard R. Brooks

Distributed Sensing and Signal Processing
Digital Signal Processing Backgrounds, Yu Hen Hu
Image Processing Background, Lynne L. Grewe and Ben Shahshahani
Object Detection and Classification, Akbar M. Sayeed
Parameter Estimation, David S. Friedlander
Target Tracking with Self-Organizing Distributed Sensors, Richard R. Brooks, Christopher Griffin, David S. Friedlander, J.D. Koch, and Ílker Özçelik Collaborative Signal and Information Processing, Feng Zhao, Jie Liu, Juan Liu, Leonidas Guibas, and James Reich
Environmental Effects, David C. Swanson
Detecting and Counteracting Atmospheric Effects, Lynne L. Grewe
Signal Processing and Propagation for Aeroacoustic Sensor Networks, Richard J. Kozick, Brian M. Sadler, and D. Keith Wilson
Distributed Multi-Target Detection in Sensor Networks, Xiaoling Wang, Hairong Qi, and Steve Beck
Symbolic Dynamic Filtering for Pattern Recognition in Distributed Sensor Networks, Xin Jin, Shalabh Gupta, Kushal Mukherjee, and Asok Ray
Beamforming, J.C. Chen and Kung Yao

Information Fusion
Foundations of Data Fusion for Automation, S. Sitharama Iyengar, Shivakumar Sastry, and N. Balakrishnan
Measurement-Based Statistical Fusion Methods for Distributed Sensor Networks, Nageswara S.V. Rao
Soft Computing Techniques, Richard R. Brooks
Estimation and Kalman Filters, David L. Hall
Data Registration, Richard R. Brooks, Jacob Lamb, Lynne L. Grewe, and Juan Deng
Signal Calibration, Estimation for Real-Time Monitoring and Control, Asok Ray and Shashi Phoha
Semantic Information Extraction, David S. Friedlander
Fusion in the Context of Information Theory, Mohiuddin Ahmed and Gregory Pottie
Multispectral Sensing, N.K. Bose
Chebyshev’s Inequality-Based Multisensor Data Fusion in Self- Organizing Sensor Networks, Mengxia Zhu, Richard R. Brooks, Song Ding, Qishi Wu, Nageswara S.V. Rao, and S. Sitharama Iyengar
Markov Model Inferencing in Distributed Systems, Chen Lu, Jason M. Schwier, Richard R. Brooks, Christopher Griffin, and Satish Bukkapatnam
Emergence of Human-Centric Information Fusion, David L. Hall

Power Management
Designing Energy-Aware Sensor Systems, N. Vijaykrishnan, M.J. Irwin, M. Kandemir, L. Li, G. Chen, and B. Kang
Operating System Power Management, Vishnu Swaminathan and Krishnendu Chakrabarty
An Energy-Aware Approach for Sensor Data Communication, H. Saputra, N. Vijaykrishnan, M. Kandemir, Richard R. Brooks, and M.J. Irwin
Compiler-Directed Communication Energy Optimizations for Microsensor Networks, I. Kadayif, M. Kandemir, A. Choudhary, M. Karakoy, N. Vijaykrishnan, and M.J. Irwin
Jamming Games in Wireless and Sensor Networks, Rajgopal Kannan, Costas Busch, and Shuangqing Wei
Reasoning about Sensor Networks, Manuel Peralta, Supratik Mukhopadhyay, and Ramesh Bharadwaj
Testing and Debugging Sensor Network Applications, Sally K. Wahba, Jason O. Hallstrom, and Nigamanth Sridhar



Sensor Deployment
Coverage-Oriented Sensor Deployment, Yi Zou and Krishnendu Chakrabarty
Deployment of Sensors, S. Sitharama Iyengar, Ankit Tandon, Qishi Wu, Eungchun Cho, Nageswara S.V. Rao, and Vijay K. Vaishnavi
Genetic Algorithm for Mobile Agent Routing in Distributed Sensor Networks, Qishi Wu, S. Sitharama Iyengar, and Nageswara S.V. Rao
Computer Network, Suresh Rai
Location-Centric Networking in Distributed Sensor Networks, Kuang-Ching Wang and Parameswaran Ramanathan
Application of Geometric Probability and Integral Geometry to Sensor Field Analysis, Errol G. Rowe, James Kelly, and Anthony G. Warrack
Directed Diffusion, Fabio Silva, John Heidemann, Ramesh Govindan, and Deborah Estrin
Data Security Perspectives, David W. Carman
Sensor Network Security with Random Key Predistribution, Lianyu Zhao, Richard R. Brooks, Brijesh Pillai, P.Y. Govindaraju, Matthew Pirretti, Vijaykrishnan Narayanan, and Mahmut Kandemir
Quality of Service Metrics with Applications to Sensor Networks, N. Gautam
Network Daemons for Distributed Sensor Networks, Nageswara S.V. Rao and Qishi Wu
Energy-Latency Trade-Off for Routing in Sensor Networks and the Positive Impact of Mobility, Sotiris Nikoletseas
Traffic Analysis Attacks on Sensor Networks, Lu Yu, Richard R. Brooks, Ryan Craven, and Harakrishnan Bhanu
Secure Key Distribution and Revocation for Advanced Metering Infrastructure, Nathaniel Karst and Stephen B. Wicker
Measurement, Modeling, and Avoidance of IEEE 802.15.4 Radio Transmission Errors in Rotating Sensor Systems, Kuang-Ching Wang, Fan Yang, Yong Huang, and Lei Tang
Detecting Sybil Attacks in Vehicular Ad Hoc Networks, Tong Zhou, Romit Roy Choudhury, Peng Ning, and Krishnendu Chakrabarty

Adaptive Tasking
Query Processing in Sensor Networks, Samuel Madden and Johannes Gehrke
Autonomous Software Reconfiguration, Richard R. Brooks
Mobile Code Support, Richard R. Brooks and T. Keiser
Mobile Agent Framework for Collaborative Processing in Sensor Networks, Hairong Qi, Yingyue Xu, and Teja Phani Kuruganti
Distributed Services for Self-Organizing Wireless Sensor Networks, Alvin S. Lim
On-Demand Querying in Sensor Networks, Joon Ahn, Marco Zuniga, and Bhaskar Krishnamachari
Improving Target Localization and Tracking by Dynamically Prioritized Frequency Band Allocation for Wireless Sensor Networks in Urban Environments, Behtash Babadi, Doina Bein, Bharat B. Madan, Shashi Phoha, Vahid Tarokh, and Yicheng Wen
Distributed Detection of Replica Node Attacks, Jun-Won Ho, Donggang Liu, Matthew Wright, and Sajal K. Das
Topology-Aware Routing and Transmission Scheduling for Highway Sensor Networks, Kuang-Ching Wang, Devang Bagaria, and Mashrur Chowdhury
Dynamically Adaptive Multi-Modal Sensor Fusion in Urban Environments, Shashi Phoha, Doina Bein, Yicheng Wen, Bharat B. Madan, and Asok Ray

Self-Configuration, Richard R. Brooks, Matthew Pirretti, Jacob Lamb, Mengxia Zhu, and S. Sitharama Iyengar
Collective Intelligence for Power-Aware Routing in Mobile Ad Hoc Sensor Networks, Vijay S. Iyer, S. Sitharama Iyengar, and N. Balakrishnan
Random Networks and Percolation Theory, Richard R. Brooks
On the Behavior of Communication Links in a Multi-Hop Mobile Environment, Prince Samar and Stephen B. Wicker
Localization in 3D Wireless Sensor Networks Based on Geometric Computation, Xin Shane Li and S. Sitharama Iyengar

System Control
Example DSN Control Hierarchy, Mengxia Zhu, S. Sitharama Iyengar, Jacob Lamb, Richard R. Brooks, and Matthew Pirretti

Engineering Examples
SenSoft, Gail Mitchell, Jeff Mazurek, Ken Theriault, and Prakash Manghwani
Statistical Approaches to Cleaning Sensor Data, Eiman Elnahrawy and Badri Nath
Plant Monitoring with Special Reference to Endangered Species, K.W. Bridges and Edo Biagioni
Designing Distributed Sensor Applications for Wireless Mesh Networks, Robert Poor and Cliff Bowman
Wireless Sensor Network Test Bed for Target Tracking, Qing Yang and Alvin S. Lim
Lightweight Key Management in Multi-Hop Wireless Sensor Networks, Sushmita Ruj, Amiya Nayak, and Ivan Stojmenovic
Maritime Domain Awareness, Christopher Griffin, Richard R. Brooks, and Jason Schwier
Environmental Monitoring Application, Lu Yu, Lianyu Zhao, and Richard R. Brooks


Editor Bio(s)

S. Sitharama Iyengar is the director of and Ryder Professor in the School of Computing and Information Sciences at Florida International University. A SIAM distinguished lecturer, ACM national lecturer, IEEE distinguished scientist, and fellow of the IEEE, ACM, AAAS, and SDPS, Dr. Iyengar is the founding editor-in-chief of the International Journal of Distributed Sensor Networks. He is a world-class expert in computational aspects of sensor networks, data structures, and algorithms for various distributed applications. Many of his techniques have been used at institutions such as NASA and Oak Ridge National Laboratory.

Richard R. Brooks is an associate professor of electrical and computer engineering at Clemson University. A senior member of the IEEE, Dr. Brooks is the associate managing editor of the International Journal of Distributed Sensor Networks. His research interests include distributed systems, network security, sensor networks, and self-organizing systems. His work has been sponsored by DARPA, the U.S. Office of Naval Research, and other high-level organizations.

Editorial Reviews

This excellent book on DSNs has a wealth of information for researchers, engineers, and scientists. It could be used as a textbook for graduate-level and doctoral courses on DSNs, and would also serve as a reference for engineers, scientists, and researchers working in this field.
Computing Reviews, April 2013

Praise for the First Edition:
This book presents very wide coverage of all the aspects concerned with designing and developing DSNs. Each section or chapter can be read separately because it is a brief tutorial on a given topic. In conclusion, it gives me pleasure to recommend this book to prospective readers for its relevance, excellent presentation, and comprehensive coverage.
—Andrzej R. Pach, Comsoc.com, March 2006

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