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author:

You, B. (You, B..) [1] | Chen, G. (Chen, G..) [2] | Guo, W. (Guo, W..) [3]

Indexed by:

Scopus

Abstract:

Topology control and management is one of the core issues in wireless sensor networks, which have drawn a significant amount of research interests in the past several years. In order to construct a network topology with low total power consumed, low radio contention and high robust structure, in this paper we make the distance between each pair of nodes, the coverage of an edge, and the residual energy of nodes as the foundation of setting up the structure. We adopt the idea of LMST algorithm, transform the model into a problem of degree-constrained minimum spanning tree and design a discrete Particle Swarm Optimization algorithm to deal with this issue. The results of our algorithm are compared to those of SMECN and LMST to demonstrate the effectiveness of the proposed methodology. ©2009 IEEE.

Keyword:

Local minimum spanning tree; PSO; Topology control; WSNs

Community:

  • [ 1 ] [You, B.]Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Chen, G.]Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China
  • [ 3 ] [Guo, W.]Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China

Reprint 's Address:

  • [You, B.]Mathematics and Computer Sciences, Fuzhou University, Fuzhou 350108, China

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Source :

Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009

Year: 2009

Volume: 1

Page: 269-273

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 16

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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