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Energy-Aware Optimal Workload Allocation among the Battery-Powered Devices to Maximize the Co-Operation Life Time

机译:电池供电设备中的能量感知最佳工作负载分配,以最大化合作寿命

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Traditional low power design minimize the totalpower consumption. However for systems that want to maximize co-operation life time among the battery-powered devices, the total power minimization strategy may not be the best. The workload allocation among these devices has a dramatic impact on the co-operation life time. In this paper, we address this problem by formulating it as a linear programming (LP) problem. A simplified energy-aware algorithm is proposed to provide the optimal solution according to the energy capacity ratio of the devices. This algorithm is simple enough to be embedded into real-time system and we illustrate this by an example using a configurable transmitter-receiver pair. Experimental results show that the proposed algorithm significantly outperforms the other workload allocation strategies by 400.66percent in the randomly-generated systems and 23.20percent in a point-to-point (P2P) communication system, respectively.
机译:传统的低功耗设计可最大限度地减少总产量消耗。然而,对于想要最大化电池供电设备之间的合作寿命时间的系统,总功率最小化策略可能不是最好的。这些设备之间的工作负载分配对合作寿命的影响急剧影响。在本文中,我们通过将其作为线性编程(LP)问题来解决这个问题。提出了一种简化的能量感知算法,以根据器件的能量比率提供最佳解决方案。该算法简单地嵌入到实时系统中,并且我们通过使用可配置的发射机接收器对的示例来说明这一点。实验结果表明,该算法显着优于400.66分别在随机生成的系统中的其他工作负载分配策略和23.0分别在点对点(P2P)通信系统中的23.20%。

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