Distributed Sensor Networks

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