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针对无线网络服务能耗较高的问题,提出了一种基于机会主义的能量感知调度方案(OEARS)。首先,该方法将资源分配过程中的能耗和其他自然因素同时考虑,采用一种称为MAC/PHY机会主义方法对系统吞吐量进行优化;然后,利用唤醒-休眠模式和信道条件进行实现能耗最小化,并利用物理层信息提高系统容量,最大化能量效率。仿真实验结果表明,在保持接近的系统性能的前提下,OEARS的能耗低于现有的其他调度方案。
In view of the high energy consumption of wireless network service, this paper proposes a opportunistic energy-aware scheduling scheme (OEARS). First, this approach considers both energy consumption and other natural factors in resource allocation and optimizes system throughput using a method called opportunistic MAC / PHY opportunistic approach. Then, the approach uses awake-sleep mode and channel conditions to implement Minimize consumption, and use physical layer information to increase system capacity and maximize energy efficiency. The simulation results show that OEARS consume less energy than other existing scheduling schemes while maintaining close system performance.