Bacterial foraging optimization algorithm for coverage problem in wireless sensor network - Details

Author：

Xue, Fei (Xue, Fei.) | Cai, Yongquan (Cai, Yongquan.) (Scholars：蔡永泉) | Cui, Zhihua (Cui, Zhihua.)

Indexed by：

EI Scopus

Abstract：

Bacterial　Foraging　Optimization　(BFO)　is　a　novel　intelligent　optimization　algorithm　by　simulating　the　bacterial　foraging　behaviours.　In　this　paper,　BFO　is　applied　to　solve　coverage　optimization　problem　which　is　one　crucial　problem　in　the　wireless　sensor　networks.　Simulation　results　show　it　is　effective.　Copyright　©　2014　American　Scientific　Publishers.

Keyword：

Optimization Problem solving Algorithms Wireless sensor networks

Author Community：

[ 1 ] [Xue, Fei]College of Computer Science and Technology, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Cai, Yongquan]College of Computer Science and Technology, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Cui, Zhihua]Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi, 030024, China
[ 4 ] [Cui, Zhihua]State Key Laboratory for Novel Software Technology, Nanjing University, Jiangsu, 210093, China

Reprint Author's Address：

Email：

cuizhihua@gmail.com

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Source ：

Sensor Letters

ISSN： 1546-198X

Year： 2014

Issue： 1

Volume： 12

Page： 160-163

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 2

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 4

Affiliated Colleges：

信息科学技术学院本学院/部未明确归属的数据

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