Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm

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This paper explores the possibility of enhancing consensus achievement of decentralized sensors by establishing cooperative behavior between sensor agents. To these ends, a novel particle swarm optimization framework to achieve robust consensus of decentralized sensors is devised to distribute sensing information via local fusing with neighbors rather than through centralized control; the new framework showed a 16.5 percent improvement in consensus achievement as compared to the classic majority rule method. Noteworthy enhancements in consensus achievement are also pertinent to the comparable situation of decentralized sensor systems.
Publisher
HINDAWI PUBLISHING CORPORATION
Issue Date
2014
Language
English
Article Type
Article
Keywords

NETWORKS; SYSTEMS

Citation

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS

ISSN
1550-1329
DOI
10.1155/2014/950683
URI
http://hdl.handle.net/10203/202794
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