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Energy Efficient Channel Assignment with Switching Optimization in Multi-radio Wireless Networks

机译:具有多无线无线网络中的开关优化的节能信道分配

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In multi-radio wireless networks, it is vital to efficiently utilize the resource of non-overlapping channels, and thus the problem of channel assignment has been widely studied. Most proposed channel assignment approaches focus on reducing interference or maximizing throughput, assuming that all the radios on each node are keeping active. However, it is a significant waste of energy when network traffic is low, since the network is designed for peak traffic demands but does not serve peak traffic demands all the time. Even if the number of active radios is dynamically adaptive to time-varying network traffic, some radios will inevitably switch their channels, which significantly increase network delay. Therefore, we investigate the energy efficient channel assignment problem with switching optimization in this paper. To address this problem, we first define the optimization objective to minimize the number of active radios and channel switchings, and then propose several constraints, such as channel switching, radio amount, transmission existence, link rate, link interference, traffic demand and routing constraints. On this basis, we present an MILP model called EECA-SO, and evaluate its performance through numerical analysis. The results show that the proposed EECA-SO model can not only achieve energy saving effectively, but also obtain the tradeoff between energy efficiency and switching optimization.
机译:在多电台无线网络中,有效地利用非重叠信道的资源至关重要,因此已经广泛研究了信道分配问题。最建议的频道分配方法侧重于降低干扰或最大化吞吐量,假设每个节点上的所有无线电都在保持活动状态。然而,当网络流量较低时,它是一个很大的能量浪费,因为网络专为峰值交通所需而设计,但不服务于峰值业务需求。即使有效无线电的数量是动态的自适应与时变的网络流量,一些无线电也将不可避免地切换它们的频道,这显着提高了网络延迟。因此,我们在本文中调查了开关优化的节能信道分配问题。为了解决这个问题,我们首先定义优化目标,以最大限度地减少有效无线电和通道切换的数量,然后提出若干约束,例如信道切换,无线电量,传输存在,链路速率,链路干扰,业务需求和路由约束。在此基础上,我们介绍了一个称为EECA-SO的MILP模型,并通过数值分析评估其性能。结果表明,所提出的EECA-SO模型不仅可以有效地实现节能,而且还获得能源效率和切换优化之间的权衡。

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