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

机译:多无线电无线网络中具有开关优化功能的节能通道分配

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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 trade off between energy efficiency and switching optimization.
机译:在多无线电无线网络中,有效利用非重叠信道的资源至关重要,因此,信道分配问题已得到广泛研究。假定每个节点上的所有无线电都保持活动状态,大多数提议的信道分配方法都将重点放在减少干扰或最大化吞吐量上。但是,当网络流量较低时,这会浪费大量能源,因为网络是为满足峰值流量需求而设计的,但并不能始终满足峰值流量需求。即使活动无线电的数量可以动态地适应随时间变化的网络流量,某些无线电也会不可避免地切换其信道,这会大大增加网络延迟。因此,本文研究了通过切换优化实现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,以最小化活动无线电和信道切换的数量,然后提出一些约束,例如信道切换,无线电数量,传输存在,链路速率,链路干扰,流量需求和路由约束。在此基础上,我们提出了一种称为EECA-SO的MILP模型,并通过数值分析来评估其性能。结果表明,所提出的EECA-SO模型不仅可以有效地实现节能,而且可以在能源效率和开关优化之间进行权衡。

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