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.
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页数：13
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