首页> 外文会议> >Energy-aware optimal workload allocation among the battery-powered devices to maximize the co-operation life time
【24h】

Energy-aware optimal workload allocation among the battery-powered devices to maximize the co-operation life time

机译:在电池供电的设备之间实现能源意识的最佳工作负载分配,以最大化协作寿命

获取原文

摘要

Traditional low power design minimizes the total power 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 400.66% in the randomly-generated systems and 23.20% in a point-to-point (P2P) communication system, respectively.
机译:传统的低功耗设计将总功耗降至最低。但是,对于希望最大程度延长电池供电设备之间的协作寿命的系统,总功耗最小化策略可能不是最佳选择。这些设备之间的工作负载分配对合作生命周期产生了巨大影响。在本文中,我们通过将其表述为线性规划(LP)问题来解决该问题。提出了一种简化的能量感知算法,以根据设备的能量容量比提供最佳解决方案。该算法非常简单,可以嵌入到实时系统中,我们通过使用可配置的收发器对示例进行说明。实验结果表明,该算法在随机生成的系统中的性能明显优于其他工作量分配策略,在点对点(P2P)通信系统中分别达到400.66%和23.20%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号