Wireless Sensor Networks: An Information Processing Approach

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Morgan Kaufmann, 2004 - Computers - 358 pages
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Designing, implementing, and operating a wireless sensor network involves a wide range of disciplines and many application-specific constraints. To make sense of and take advantage of these systems, a holistic approach is needed--and this is precisely what Wireless Sensor Networks delivers.

Inside, two eminent researchers review the diverse technologies and techniques that interact in today's wireless sensor networks. At every step, they are guided by the high-level information-processing tasks that determine how these networks are architected and administered. Zhao and Guibas begin with the canonical problem of localizing and tracking moving objects, then systematically examine the many fundamental sensor network issues that spring from it, including network discovery, service establishment, data routing and aggregation, query processing, programming models, and system organization. The understanding gained as a result--how different layers support the needs of different applications, and how a wireless sensor network should be built to optimize performance and economy--is sure to endure as individual component technologies come and go.

·Written for practitioners, researchers, and students and relevant to all application areas, including environmental monitoring, industrial sensing and diagnostics, automotive and transportation, security and surveillance, military and battlefield uses, and large-scale infrastructural maintenance.
·Skillfully integrates the many disciplines at work in wireless sensor network design: signal processing and estimation, communication theory and protocols, distributed algorithms and databases, probabilistic reasoning, energy-aware computing, design methodologies, evaluation metrics, and more.
·Demonstrates how querying, data routing, and network self-organization can support high-level information-processing tasks.
 

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Contents

Chapter 1 Introduction
1
Chapter 2 Canonical Roblem Localization and Tracking
23
Chapter 3 Networking Sensors
63
Chapter 4 Infrastructure Establishment
103
Chapter 5 Sensor Tasking and Control
135
Chapter 6 Sensor Network Databases
189
Chapter 7 Sensor Network Platforms and Tools
239
Chapter 8 Applications and Future Directions
291
Appendix A Optimal Estimator Design
307
Appendix B Particle Filter
309
Appendix C Information Utility Measures
313
Appendix D Sample Sensor Selection Criteria
321
Bibliography
323
Index
347

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About the author (2004)

Feng Zhao is a senior researcher at Microsoft, where he manages the Networked Embedded Computing Group. He received his Ph.D. in Electrical Engineering and Computer Science from MIT and has taught at at Stanford University and Ohio State University. Dr. Zhao was a principal scientist at Xerox PARC and directed PARC's sensor network research effort. He is serving as the Editor-In-Chief of ACM Transactions on Sensor Networks.

Professor Guibas heads the Geometric Computation group in the Computer Science Department of Stanford University, where he works on algorithms for sensing, modeling, reasoning about, rendering, and acting on the physical world. He is well-known for his work in computational geometry, computer graphics, and discrete algorithms. Professor Guibas obtained his Ph.D. from Stanford, has worked at PARC, MIT, and DEC/SRC, and was recently elected an ACM Fellow.

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