Sensor Selection for Event Detection in Wireless Sensor Networks

We consider the problem of sensor selection for event detection in wireless sensor networks (WSNs). We want to choose a subset of p out of n sensors that yields the best detection performance. As the sensor selection optimality criteria, we propose the Kullback-Leibler and Chernoff distances between...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 59; H. 10; S. 4938 - 4953
Hauptverfasser:	Bajovic, D., Sinopoli, B., Xavier, J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.10.2011 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applied sciences Chernoff distance Computer simulation Covariance matrix Criteria Detection, estimation, filtering, equalization, prediction Estimation Event detection Exact sciences and technology Heuristic Information, signal and communications theory Kullback-Leibler distance Networks Optimization Robot sensing systems robust optimization Robustness Searching sensor selection Sensors Signal and communications theory Signal, noise Studies Telecommunications and information theory Uncertainty Upper bounds Performance evaluation Chernoff distance sensor selection Wireless telecommunication robust optimization Algorithm Optimization Remote sensing Event analysis Random search Selection problem Computation time Upper bound Kullback―Leibler distance event detection Algorithm complexity NP hard problem Signal processing Wireless network Numerical simulation Sensor array Signal detection
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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