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Journal Article
Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm
- Authors
- Hyunseok Kim, Seongju Chang, Jinsul Kim
- Issue Date
- 2014-04
- Citation
- International Journal of Distributed Sensor Networks, v.2014, pp.1-13
- ISSN
- 1550-1329
- Publisher
- Hindawi Publishing
- Language
- English
- Type
- Journal Article
- Abstract
- 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 Keywords
- Centralized control, Cooperative Behavior, Majority rule, Particle swarm optimization algorithm, Robust consensus, Rule method, Sensor system, consensus achievement, optimization framework, particle swarm optimization(PSO)
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
