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.
VOLUME I: Overview 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 Ilker OEzcelik 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 Index VOLUME II: 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 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 Index
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.
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