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:
Volume I: Overview. Distributed Sensing and Signal Processing. Information Fusion. Power Management. Index. Volume II: Sensor Deployment. Adaptive Tasking. Self-Configuration. System Control. Engineering Examples. Index.
About the Author :
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.
Review :
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
