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author:

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

Indexed by:

CPCI-S

Abstract:

In this paper, we develop a real-time adaptive task allocation algorithm based on parallel dynamic coalition in WSNs. The algorithm gives a priority level to each task according to the idea of EDF. And the task with relatively higher priority will be scheduled firstly. When coalitions are parallel generated through PSO algorithm, the corresponding task of coalition will be allocated according to the current load of sensors and the remaining energy balance degree. The experimental results show that the proposed algorithm has strong capability to meet deadline constraint and it can prolong the lifetime of the whole network significantly.

Keyword:

dynamic coalition earliest deadline first particle swarm optimization task allocation wireless sensor networks

Community:

  • [ 1 ] [Chen, Chengyu]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China
  • [ 2 ] [Guo, Wenzhong]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China
  • [ 3 ] [Chen, Guolong]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • 陈澄宇

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

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Source :

KNOWLEDGE ENGINEERING AND MANAGEMENT

ISSN: 1867-5662

Year: 2011

Volume: 123

Page: 25-32

Language: English

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

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