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Dynamic router node placement in wireless mesh networks: A PSO approach with constriction coefficient and its convergence analysis

机译:无线网状网络中动态路由器节点放置:具有压缩系数的PSO方法及其收敛性分析

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Different from previous works, this paper considers the router node placement of wireless mesh networks (WMNs) in a dynamic network scenario in which both mesh clients and mesh routers have mobility, and mesh clients can switch on or off their network access at different times. We investigate how to determine the dynamic placement of mesh routers in a geographical area to adapt to the network topology changes at different times while maximizing two main network performance measures: network connectivity and client coverage, i.e., the size of the greatest component of the WMN topology and the number of the clients within radio coverage of mesh routers, respectively. In general, it is computationally intractable to solve the optimization problem for the above two performance measures. As a result, this paper first models a mathematical form for our concerned problem, then proposes a particle swarm optimization (PSO) approach, and, from a theoretical aspect, provides the convergence and stability analysis of the PSO with constriction coefficient, which is much simpler than the previous analysis. Experimental results show the quality of the proposed approach through sensitivity analysis, as well as the adaptability to the topology changes at different times.
机译:与以前的工作不同,本文考虑了在动态网络场景中无线网状网络(WMN)的路由器节点放置情况,其中网状客户端和网状路由器都具有移动性,并且网状客户端可以在不同时间打开或关闭其网络访问。我们研究如何确定网状路由器在地理区域中的动态位置,以适应不同时间的网络拓扑变化,同时最大化两个主要的网络性能指标:网络连接性和客户端覆盖范围,即WMN最大组成部分的大小拓扑和网状路由器的无线覆盖范围内的客户端数量。通常,解决上述两个性能指标的优化问题在计算上是棘手的。因此,本文首先针对所关注的问题建立了数学模型,然后提出了一种粒子群优化(PSO)方法,并从理论上提供了具有收缩系数的PSO的收敛性和稳定性分析,比以前的分析更简单。实验结果通过敏感性分析表明了该方法的质量,以及在不同时间对拓扑变化的适应性。

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