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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)

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EI Scopus

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. © 2011 Springer-Verlag Berlin Heidelberg.

Keyword:

Intelligent systems Knowledge engineering Particle swarm optimization (PSO) Response time (computer systems) Wireless sensor networks

Community:

  • [ 1 ] [Chen, Chengyu]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Guo, Wenzhong]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China
  • [ 3 ] [Chen, Guolong]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China

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Source :

ISSN: 1867-5662

Year: 2011

Volume: 123

Page: 25-32

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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