Channel estimation algorithms are proposed for the initialization phase of a wireless sensor network, during which the nodes are still unaware of their neighbors or channel qualities. Both expectation propagation (EP) and diffusion least mean squares (LMS) algorithms are applied to this problem of channel estimation while the network employs a random duty cycling strategy to conserve power. Simulations results which show EP giving better performance are given for both algorithms for a small network.
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Details
Title
Distributed Estimation of channel Gains in Sensor Networks
Creators
Sivagnanasundaram Ramanan - Drexel University
John MacLaren Walsh - Drexel University
Contributors
M B Matthews (Editor)
Publication Details
2008 42ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-4, pp 1953-1957
Series
Conference Record of the Asilomar Conference on Signals Systems and Computers
Publisher
IEEE
Number of pages
5
Resource Type
Conference proceeding
Language
English
Academic Unit
Electrical and Computer Engineering
Web of Science ID
WOS:000274551001156
Scopus ID
2-s2.0-70349689970
Other Identifier
991019168032504721
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