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author:

Cheng, Hongju (Cheng, Hongju.) [1] (Scholars:程红举) | Xiong, Naixue (Xiong, Naixue.) [2] | Chen, Guolong (Chen, Guolong.) [3] (Scholars:陈国龙) | Zhuang, Xiaofang (Zhuang, Xiaofang.) [4]

Indexed by:

EI Scopus

Abstract:

Channel assignment is one of the most important issues in the multi-radio multi-channel wireless mesh networks. An improper channel assignment may lead to network partition or link failure. In this paper we focus on the channel assignment problem with the original topology preservation for the multi-radio mesh networks, and aim at minimizing the overall network interference. We have formulated an Integer Line Programming (ILP) which can be used to find the optimized solution for the channel assignment problem in small-size network. In this paper we also have developed a distributed algorithm for the channel assignment due to the NP-hardness of the ILP. Extensive simulation results have demonstrated that our algorithms have good performance in both dense and sparse networks compared with related works. The theoretic and experiment results have shown that the proposed algorithms serve as a practical solution to the channel assignment problem in the multi-channel multi-radio wireless mesh networks. © 2010 Academy Publisher.

Keyword:

Combinatorial optimization Integer programming Mesh generation MESH networking Topology Wireless mesh networks (WMN)

Community:

  • [ 1 ] [Cheng, Hongju]College of Mathematics and Computer Science, Fuzhou University, China
  • [ 2 ] [Xiong, Naixue]Department of Computer Science, Georgia State University, United States
  • [ 3 ] [Chen, Guolong]College of Mathematics and Computer Science, Fuzhou University, China
  • [ 4 ] [Zhuang, Xiaofang]College of Mathematics and Computer Science, Fuzhou University, China

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Source :

Journal of Communications

ISSN: 1796-2021

Year: 2010

Issue: 1

Volume: 5

Page: 63-70

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 20

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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