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Journal of Information Science and Engineering, Vol. 32 No. 2, pp. 495-514 (March 2016)


Multi-Radio Multi-Channel (MRMC) Resource Optimization Method for Wireless Mesh Network*


DEGAN ZHANG1,2,3,+, YANAN ZHU1,2,++, SI LIU1,2,6, XIAODAN ZHANG4,5 AND JINJIE SONG1,2,7
1Key Laboratory of Computer Vision and System
Ministry of Education, Tianjin
2Tianjin Key Lab of Intelligent Computing and Novel Software Technology
Tianjin University of Technology
Tianjin, 300384 P.R. China
3School of Electrical and Information Engineering
The University of Sydney
Sydney, NSW 2006, Australia
4Institute of Scientific and Technical Information of China
Beijing, 100038 P.R. China
E-mail: +gandegande@126.com; {++724972157; 6406690108; 52310674826; 7172128173}@qq.com


Wireless Mesh network (WMN) is multi-hop heterogeneous network, which breaks shortcomings of traditional wireless network. WMN comes into sight with more advantages. To the multi-radio multi-channel (MRMC) wireless mesh networks (MRMCWMN), routing distribution, channel assignment and rate allocation can be united to optimize network performance. MRMC resource optimization method based on convex theory for WMN is presented in this paper. According to convex theory, we use the convex optimization function to get the optimal solution in the limited network supporting by Ad hoc On-Demand Distance Vector (AODV) routing method. At the same time, we resolve the optimal solution into three simple sub-problems according to the Lagrange duality method supporting by multi-radio multi-channel AODV (MAODV). We use MATLAB simulation tools to simulate the new and improved optimization method. The experimental results show that our method has better network performance in the applications of WMN.

Keywords: MRMC, WMN, convex, optimization, MAODV, Lagrange duality method

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Received September 24, 2014; revised August 11, 2015; accepted September 1, 2015.
Communicated by Jiann-Liang Chen.
* This work was supported by the National Natural Science Foundation of China (Grant No. 61571328), Tianjin Key Natural Science Foundation (No. 13JCZDJC34600), Training plan of Tianjin University Innovation Team (No. TD12-5016), Major projects of science and technology in Tianjin (No. 15ZXDSGX00050). 5 Corresponding author.