About the Book
The vision of researchers to create smart environments through the deployment of thousands of sensors, each with a short range wireless communications channel and capable of detecting ambient conditions such as temperature, movement, sound, light, or the presence of certain objects is becoming a reality. With the emergence of high-speed networks and with their increased computational capabilities, Distributed Sensor Networks (DSN) have a wide range of real-time applications in aerospace, automation, defense, medical imaging, robotics, and weather prediction. Over the past several years, scientists, engineers, and researchers in a multitude of disciplines have been clamoring for more detailed information without much success. Until now, in fact, this evolving technology was so new and proprietary that information has been available only in scattered articles or basic books. Distributed Sensor Networks is a complete, self-contained book that introduces background theory and applications of this revolutionary new technology. It contains essential background on wireless networks, signal processing, and self-organizing systems.
This volume encompasses a number of recurring themes like multidimensional data structures, reasoning with uncertainty, system dependability, and the use of metaheuristics. With over 500 illustrations and over 1,000 pages of in depth information, Distributed Sensor Networks is both an excellent introduction to the field and a complete reference source. With contributions from leading experts, virtually every major topic on 'Smart Dust' is examined. This volume promises to become the definitive guide to understanding this far-reaching technology for years to come, opening frontiers in research and applications.
Table of Contents:
An Overview, S.S. Iyengar, Ankit Tandon, and R.R. Brooks
Microsensor Applications, David Shepherd
A Taxonomy of Distributed Sensor Networks, Shivakumar Sastry and S.S. Iyengar
Contrast with Traditional Systems, R.R. Brooks
Digital Signal Processing Background, Yu Hen Hu
Image-Processing Background
Lynne Grewe and Ben Shahshahani
Object Detection and Classification, Akbar M. Sayeed
Parameter Estimation
David Friedlander
Target Tracking with Self-Organizing Distributed Sensors
R.R. Brooks, C. Griffin, D.S. Friedlander, and J.D. Koch
Collaborative Signal and Information Processing: An
Information-Directed Approach
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
Foundations of Data Fusion for Automation
S.S. Iyengar, S. Sastry, and N. Balakrishnan
Measurement-Based Statistical Fusion Methods For Distributed Sensor Networks, Nageswara S.V. Rao
Soft Computing Techniques, R.R. Brooks
Estimation and Kalman Filters, David L. Hall
Data Registration, R.R. Brooks, Jacob Lamb, and Lynne Grewe
Signal Calibration, Estimation for Real-Time Monitoring and Control, Asok Ray and Shashi Phoha
Semantic Information Extraction, David Friedlander
Fusion in the Context of Information Theory
Mohiuddin Ahmed and Gregory Pottie
Multispectral Sensing, N.K. Bose
Coverage-Oriented Sensor Deployment
Yi Zou and Krishnendu Chakrabarty
Deployment of Sensors: An Overview
S.S. 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.S. Iyengar, and Nageswara S.V. Rao
Computer Network - Basic Principles, Suresh Rai
Location-Centric Networking in Distributed Sensor Networks, Kuang-Ching Wang and Parameswaran Ramanathan
Directed Diffusion, Fabio Silva, John Heidemann, Ramesh Govindan, and Deborah Estrin
Data Security Perspectives, David W. Carman
Quality of Service Metrics, N. Gautam
Network Daemons for Distributed Sensor Networks
Nageswara S.V. Rao and Qishi Wu
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, 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
Sensor-Centric Routing in Wireless Sensor Networks
Rajgopal Kannan and S.S. Iyengar
Query Processing in Sensor Networks
Samuel Madden and Johannes Gehrke
Autonomous Software Reconfiguration, R.R. Brooks
Mobile Code Support, R.R. Brooks and T. Keiser
The Mobile-Agent Framework for Collaborative Processing
in Sensor Networks, Hairong Qi, Yingyue Xu, and Teja Phani Kuruganti
Distributed Services, Alvin S. Lim
Adaptive Active Querying, Bhaskar Krishnamachari
Need for Self-Configuration, R.R. Brooks
Emergence, R.R. Brooks
Biological Primitives, M. Pirretti
Physics and Chemistry, Mengxia Zhu, Richard Brooks, Matthew Pirretti, and S.S. Iyengar
Collective Intelligence for Power-Aware Routing in
Mobile Ad Hoc Sensor Networks
Vijay S. Iyer, S.S. Iyengar, and N. Balakrishnan
Random Networks and Percolation Theory
R.R. Brooks
On the Behavior of Communication Links in a Multi-Hop
Mobile Environment , Prince Samar and Stephen B. Wicker
Example Distributed Sensor Network Control Hierarchy
Mengxia Zhu, S.S. Iyengar, Jacob Lamb,
R.R. Brooks, and Matthew Pirretti
SenSoft: Development of a Collaborative Sensor Network
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
Beamforming, J.C. Chen and K. Yao
