Particle Swarm Optimization-Based Consensus Achievement of a Decentralized Sensor Network
نویسندگان
چکیده
This paper explores the possibility of enhancing the decision-making capability of a decentralized sensor network by establishing cooperative behavior among sensor agents. For that purpose, it was necessary to devise a robust consensus mechanism that distributes sensing information through local fusing with neighbors rather than through a centralized control. This paper proposed a novel particle swarm optimization framework to achieve robust consensus of decentralized sensors; the new framework showed an 16.5% 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 network.
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