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학술지 Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm
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저자
김현석, 장성주, 김진술
발행일
201404
출처
International Journal of Distributed Sensor Networks, v.2014, pp.1-13
ISSN
1550-1329
출판사
Hindawi Publishing
DOI
https://dx.doi.org/10.1155/2014/950683
협약과제
14IC1300, 쌍방향 정보 교환기반 인텔리전트 복합공간용 IT 조명 시스템 기술 개발, 강태규
초록
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. © 2014 Hyunseok Kim et al.
KSP 제안 키워드
Centralized control, Cooperative Behavior, Majority rule, Particle swarm optimization algorithm, Robust consensus, Rule method, Sensor system, consensus achievement, optimization framework, particle swarm optimization(PSO)