DocumentCode
1897245
Title
Distributed Inference in Wireless Sensor Networks: Some Recent Results
Author
Poor, H. Vincent
Author_Institution
Princeton Univ., NJ
fYear
2005
fDate
17-20 July 2005
Firstpage
1188
Lastpage
1189
Abstract
Distributed inference (e.g., detection, estimation, learning, etc.) is one of the primary applications of wireless sensor networks. This paper presents an overview of recent results by the author and co-workers in this area. The focus is on results in distributed learning and sensor scheduling, but some issues relating to energy efficiency are also discussed briefly
Keywords
inference mechanisms; learning (artificial intelligence); scheduling; telecommunication computing; wireless sensor networks; distributed inference; distributed learning; energy efficiency; sensor scheduling; wireless sensor networks; Acoustic sensors; Approximation algorithms; Collaborative work; Energy efficiency; Inference algorithms; Intelligent networks; Iterative algorithms; Sensor fusion; Sensor phenomena and characterization; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location
Novosibirsk
Print_ISBN
0-7803-9403-8
Type
conf
DOI
10.1109/SSP.2005.1628775
Filename
1628775
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