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On energy-efficient performance-guaranteed channel assignment in cognitive radio-based wireless mesh networks

机译:基于认知无线电的无线网状网络中的节能性能保证的信道分配

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In recent years, in order to make efficient use of spectrum resources, much attention has been given to solving the problem of channel assignment in cognitive radio-based wireless mesh networks (CR-WMNs). Current approaches focus mainly on avoiding interference in order to enhance performance in terms of throughput. WMNs are intended to provide low-cost multimedia communication. Therefore, in order to provide low-cost real-time communication, channel assignment in CR-WMNs should take into consideration not only the issue of throughput, but also energy consumption and delays. In this paper, we first define an optimization problem to maximize the end-to-end throughput per unit of energy consumption while minimizing, as well as guaranteeing, the delay constraint specified for a data stream. Based on this, we then propose a novel distributive heuristic channel assignment approach to solve the optimization problem in a self-organized manner. Finally, we present the simulation results to evaluate the performance of the proposed solution in terms of end-to-end throughput per unit of energy consumption and delays. Copyright (c) 2015John Wiley & Sons, Ltd.
机译:近年来,为了有效地利用频谱资源,已经非常关注解决基于认知无线电的无线网格网络(CR-WMN)中的信道分配问题。当前的方法主要集中在避免干扰上,以便提高吞吐量方面的性能。 WMN旨在提供低成本的多媒体通信。因此,为了提供低成本的实时通信,CR-WMN中的信道分配不仅应考虑吞吐量问题,还应考虑能耗和延迟。在本文中,我们首先定义一个优化问题,以使单位能耗的端到端吞吐量最大化,同时最小化并保证为数据流指定的延迟约束。在此基础上,我们提出了一种新颖的分布式启发式渠道分配方法,以自组织的方式解决优化问题。最后,我们提供了仿真结果,以评估每单位能耗和延迟的端到端吞吐量方面所提出解决方案的性能。版权所有(c)2015 John Wiley&Sons,Ltd.

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