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author:

Guo, Wenzhong (Guo, Wenzhong.) [1] (Scholars:郭文忠) | Chen, Zhen (Chen, Zhen.) [2] | You, Binyu (You, Binyu.) [3] | Chen, Guolong (Chen, Guolong.) [4] (Scholars:陈国龙)

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EI Scopus

Abstract:

Fault tolerant topology control is a critical problem in wireless sensor networks (WSNs). This paper proposes a PSO-based k-connected fault-tolerant topology control algorithm based on particle swarm optimization (PSO), called KFTC-PSO. This algorithm takes both the issues of node failure and power efficient into consideration. We also give the mathematical model of the k-connected fault-tolerant topology control problem and incorporate the principles of mutation and crossover operator in genetic algorithm (GA) to achieve a better diversity and break away from local optima. The simulation results show that this proposed algorithm is efficient. © 2012 IEEE.

Keyword:

Fault tolerance Genetic algorithms Mathematical operators Particle swarm optimization (PSO) Topology Wireless sensor networks

Community:

  • [ 1 ] [Guo, Wenzhong]College of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Guo, Wenzhong]College of Computer, National University of Defense Technology, Changsha 410073, China
  • [ 3 ] [Chen, Zhen]College of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China
  • [ 4 ] [You, Binyu]College of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China
  • [ 5 ] [Chen, Guolong]College of Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China

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ISSN: 2157-9555

Year: 2012

Page: 739-743

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 4

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