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  • 标题:Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm
  • 本地全文:下载
  • 作者:Hyunseok Kim ; Seongju Chang ; Jinsul Kim
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2014
  • 卷号:2014
  • DOI:10.1155/2014/950683
  • 出版社:Hindawi Publishing Corporation
  • 摘要: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.
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