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Information Processing in Sensor Networks: Second International Workshop, IPSN 2003, Palo Alto, CA, USA, April 22-23, 2003, Proceedings (Lecture Notes in Computer Science)
 
 
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Information Processing in Sensor Networks: Second International Workshop, IPSN 2003, Palo Alto, CA, USA, April 22-23, 2003, Proceedings (Lecture Notes in Computer Science) [Paperback]

Feng Zhao (Editor), Leonidas Guibas (Editor)

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Book Description

3540021116 978-3540021117 July 29, 2003 1
This book constitutes the refereed proceedings of the Second International Workshop on Information Processing in Sensor Networks, IPSN 2003, held in Palo Alto, CA, USA, in April 2003. The 23 revised full papers and 21 revised poster papers presented were carefully reviewed and selected from 73 submissions. Among the topics addressed are wireless sensor networks, query processing, decentralized sensor platforms, distributed databases, distributed group management, sensor network design, collaborative signal processing, adhoc sensor networks, distributed algorithms, distributed sensor network control, sensor network resource management, data service middleware, random sensor networks, mobile agents, target tracking, sensor network protocols, large scale sensor networks, and multicast.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
tripwire nodes, event detection services, heterogeneous sensor networks, naive activation, forwarding zone, pointwise reconstruction error, bailout message, central monitoring node, dynamic sensor collaboration, sensor network topology, cheap nodes, decentralised data fusion, sensor management scheme, time synchronization error, multitarget probability density, dither function, average location error, partial state record, sensor network model, location error distribution, pth sensor, total transport capacity, link loss probability, redundancy suppression, network information theory
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Springer-Verlag Berlin Heidelberg, New York, Signal Processing Magazine, Department of Computer Science, Los Angeles, Palo Alto, Computer Science Department, John Wiley, University of California, University of Southern California, Artificial Intelligence, Sierra Nevada, Yosemite National Park, Deborah Estrin, Merced River, Personal Communications, San Francisco, Ann Arbor, Expectation Maximization, Identity-Mass Flow, Introduction Sensor, Introduction Wireless, Prentice Hall, Yosemite Valley, Ashutosh Sabharwal
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