Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm

被引：3

作者：

Kim, Hyunseok ^{[1
]}

Chang, Seongju ^{[2
]}

Kim, Jinsul ^{[3
]}

机构：

[1] Elect & Telecommun Res Inst, IT Convergence Technol Res Lab, Taejon 305700, South Korea

[2] Korea Adv Inst Sci & Technol, Dept Civil & Environm Engn, Taejon 305701, South Korea

[3] Chonnam Natl Univ, Sch Elect & Comp Engn, Kwangju 500757, South Korea

来源：

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS | 2014年

关键词：

D O I：

10.1155/2014/950683

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：13

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