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改进的WMN的QoS组播路由算法
引用本文:鞠慧明,谢红.改进的WMN的QoS组播路由算法[J].应用科技,2013,40(1):52-56,64.
作者姓名:鞠慧明  谢红
作者单位:哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨,150001
摘    要:无线Mesh网络(WMN)是一种新型的网络结构,服务质量(QoS)是影响其网络指标的关键因素,因此对WMN的QoS组播路由算法研究成为了一个新的研究方向.采用粒子群优化(PSO)算法应用到WMN的QoS组播路由,存在易早熟的问题,因而采用DE-PSO算法是差分进化(DE)算法与PSO算法一起进行WMN的组播路径寻优.仿真结果表明,DE-PSO算法相比PSO算法,具有收敛速度快、多样性的特点,而且发现DE-PSO算法提高了算法全局搜索能力,更符合无线通信实际的要求.

关 键 词:WMN  粒子群优化算法  差分进化算法  组播路由算法

QoS multicast routing algorithm of WMN based on differential evolution-particle swarm optimization algorithm
JU Huiming , XIE Hong.QoS multicast routing algorithm of WMN based on differential evolution-particle swarm optimization algorithm[J].Applied Science and Technology,2013,40(1):52-56,64.
Authors:JU Huiming  XIE Hong
Institution:College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China
Abstract:Wireless mesh network(WMN) is a new network structure and quality of service(QOS) is a key factor in WMN, so QoS multicast routing algorithm of WMN becomes a new research direction. The scheme of QoS multicast routing of WMN based on particle swarm optimization (PSO) algorithm is easy to fall into premature convergence. DE-PSO algorithm in this paper consists of differential evolution (DE) algorithm and PSO algorithm, used to search the optimal multicast route of WMN. Simulation results and comparison with PSO algorithm show that DE-PSO algorithm can achieve fast convergence and diversity, and improve the global search capability, thus it better meets the actual requirements in wireless communications.
Keywords:WMN  particle swarm optimization algorithm  differential evolution algorithm  multicast routing algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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