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Cognitive Networking for Wireless Mesh Networks Using Swarm Intelligence

机译:使用群体智能的无线网状网络的认知网络

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Wireless mesh networks (WMNs) have gained tremendous popularity as a cost effective and reliable solution to last-mile broadband Internet connectivity. However, the network design without global information is a challenging task. We study the optimal network topology design problem in WMNs and propose an ant-based cognitive networking algorithm to search a topology with the minimum cost while guaranteeing the link delay and the capacity limit constraints. Simulation results demonstrate the benefits of the proposed algorithm.
机译:无线网状网络(WMN)作为一种成本有效且可靠的解决方案,已广泛普及到最后一英里的宽带Internet连接中。但是,没有全局信息的网络设计是一项艰巨的任务。我们研究了WMN中的最佳网络拓扑设计问题,并提出了一种基于蚁群的认知网络算法,以在保证链路延迟和容量限制约束的前提下以最小的成本搜索拓扑。仿真结果证明了该算法的优越性。

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