• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Guo, Wenzhong (Guo, Wenzhong.) [1] (Scholars:郭文忠) | Xiong, Naixue (Xiong, Naixue.) [2] | Vasilakos, Athanasios V. (Vasilakos, Athanasios V..) [3] | Chen, Guolong (Chen, Guolong.) [4] (Scholars:陈国龙) | Yu, Chaolong (Yu, Chaolong.) [5]

Indexed by:

Scopus SCIE

Abstract:

Fault-tolerant topology control in Wireless Sensor Networks (WSNs) has drawn a significant amount of research interest and become a hot point. In this paper, we first propose a centralised k-connected fault-tolerant topology control algorithm with Particle Swarm Optimisation (PSO) called CKFTC-PSO. In CKFTC-PSO, we take both issues of node failure and power efficiency into consideration and give the mathematical model of k-connected fault-tolerant topology control problem. Inspired by physics of Genetic Algorithm (GA), the principles of mutation and crossover operator in GA are incorporated into the proposed CKFTC-PSO algorithm to achieve a better diversity and break away from local optima. Based on CKFTC-Pso, we then propose a distributed k-connected fault-tolerant topology control algorithm with PSO called DKFTC-PSO. DICFIC-PSO has better performance than CKFTC-PSO in power-efficiency while preserve k-connectivity. Simulation results are presented to demonstrate the effectiveness of the proposed algorithms.

Keyword:

fault-tolerant k-connected particle swarm optimisation topology control wireless sensor networks

Community:

  • [ 1 ] [Guo, Wenzhong]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China
  • [ 2 ] [Chen, Guolong]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China
  • [ 3 ] [Yu, Chaolong]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China
  • [ 4 ] [Xiong, Naixue]Georgia State Univ, Dept Comp Sci, Atlanta, GA 30303 USA
  • [ 5 ] [Vasilakos, Athanasios V.]Univ Western Macedonia, Dept Comp & Telecommun Engn, Kozani 50100, Greece

Reprint 's Address:

  • 陈国龙

    [Chen, Guolong]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China

Show more details

Related Keywords:

Related Article:

Source :

INTERNATIONAL JOURNAL OF SENSOR NETWORKS

ISSN: 1748-1279

Year: 2012

Issue: 1

Volume: 12

Page: 53-62

1 . 1 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Online/Total:47/10043452
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1