상세정보
학술지
Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm
- 저자
- 김현석, 장성주, 김진술
- 발행일
- 201404
- 출처
- International Journal of Distributed Sensor Networks, v.2014, pp.1-13
- ISSN
- 1550-1329
- 출판사
- Hindawi Publishing
- 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)