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Sensor selection for source extraction in heterogeneous wireless sensor networks
Author(s) -
Chen Hongbin,
Feng Jiuchao,
Tse Chi K.
Publication year - 2010
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.1075
Subject(s) - computer science , wireless sensor network , fusion center , scheme (mathematics) , selection (genetic algorithm) , exploit , sensor fusion , real time computing , key distribution in wireless sensor networks , computer network , noise (video) , signal (programming language) , extraction (chemistry) , wireless , wireless network , telecommunications , artificial intelligence , computer security , cognitive radio , mathematical analysis , chemistry , image (mathematics) , mathematics , chromatography , programming language
A sensor selection scheme for source extraction in heterogeneous wireless sensor networks is proposed. The proposed scheme selects the sensors corresponding to the reconstructed mixtures with the largest signal‐to‐noise‐ratios to transmit their data to a fusion center. It exploits the heterogeneity of the sensor observations and reduces the amount of transmissions. The results demonstrate that the proposed scheme outperforms the full utilization scheme and the random selection scheme. Copyright © 2009 John Wiley & Sons, Ltd.