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author:

Zhuo, Jun (Zhuo, Jun.) [1] | Chen, Yu-Zhong (Chen, Yu-Zhong.) [2] (Scholars:陈羽中) | Chen, Yi-Ping (Chen, Yi-Ping.) [3]

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Abstract:

The quality of service guaranteed multicast routing problem (QoS-MRP) is an important issue in wireless mesh networks (WMNs). However, the multicast routing is NP-complete problem. In this paper, this problem is transformed into a multi-objective combinatorial optimization problem. We present an improved discrete particle swarm optimization (PSO) approach for QoSMRP which takes many key QoS parameters into consideration and gives a good compromise between them. The proposed algorithm was compared with SPT, KPP and an enumeration method. The simulation results show that this algorithm is effective and fmds high quality solutions for QoS-MRP. © 2010 IEEE.

Keyword:

Combinatorial optimization Computational complexity Mesh generation MESH networking Multicasting Multiobjective optimization Particle swarm optimization (PSO) Quality of service Routing algorithms Signal processing Wireless mesh networks (WMN)

Community:

  • [ 1 ] [Zhuo, Jun]Department of Computer Science, Fuzhou University, China
  • [ 2 ] [Chen, Yu-Zhong]Department of Computer Science, Fuzhou University, China
  • [ 3 ] [Chen, Yi-Ping]Department of Computer Science, Fuzhou University, China

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Year: 2010

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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