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。Aimed at the problem of high energy consumption of wireless network; service, an energy-aware resource scheduling scheme-OEARS based on the; opportunism is proposed. Firstly, this method considers the energy; consumption and other natural factors in the process of resource; allocation. An opportunistic approach called MAC/PHY is used to optimize; the system throughput. Then, the energy consumption is minimized by; using the wake-sleep mode and the channel condition, and the physical; layer information is used to improve the system capacity and maximize; the energy efficiency. The simulation results show that the energy; consumption of OEARS is lower than that of other existing scheduling; schemes on the premise of keeping the close system performance.国家自然科学基金面上项目; 广东省教育部科技部中国科学院产学研结合项
