Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm

Author:

Kim Hyunseok1,Chang Seongju2,Kim Jinsul3

Affiliation:

1. IT Convergence Technology Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon 305-700, Republic of Korea

2. Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Republic of Korea

3. School of Electronics and Computer Engineering, Chonnam National University, Gwangju 500-757, Republic of Korea

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.

Funder

Information Technology Research Center

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

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