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作者:

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

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摘要:

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.

关键词:

Algorithms Optimization Problem solving Wireless sensor networks

作者机构:

  • [ 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

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来源 :

Sensor Letters

ISSN: 1546-198X

年份: 2014

期: 1

卷: 12

页码: 160-163

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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