Statistical-QoS Guaranteed Energy Efficiency Optimization for Energy Harvesting Wireless Sensor Networks.
Statistical-QoS Guaranteed Energy Efficiency Optimization for Energy Harvesting Wireless Sensor Networks.
复制标题
能量收集无线传感器网络的统计 QoS 保证能效优化
DOI：
10.3390/s17091933
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发表时间：
2017-08-23
期刊：
影响因子：
--
通讯作者：
Zhang H
中科院分区：
文献类型：
--
作者：
Gao Y;Cheng W;Zhang H
能量收集提供了一个永无止境的能源供应，已成为一个突出的技术，以延长寿命和降低成本的电池供电的无线传感器网络。然而，如何提高能量效率的同时，保证服务质量（QoS）的能量收集为基础的无线传感器网络仍然是一个悬而未决的问题。在本文中，我们开发了统计延迟有界QoS驱动的功率控制策略，以最大限度地提高有效的能源效率（ESTA），这是定义为给定的指定QoS约束下的频谱效率每单位收获的能量，能量收集为基础的无线传感器网络。对于电池无限的无线传感器网络，我们开发的QoS驱动的功率控制策略收敛到能量收集注水（E-WF）计划和能量收集信道反转（E-CI）计划下非常宽松和严格的QoS约束，分别。对于电池有限的无线传感器网络，我们开发的QoS驱动的功率控制策略成为截断能量收集注水（T-WF）计划和截断能量收集信道反转（T-CI）计划下非常宽松和严格的QoS约束，分别。此外，我们评估的中断概率，从理论上分析我们开发的QoS驱动的功率控制策略的性能。数值结果验证了我们的分析，并表明我们开发的最优功率控制策略可以优化基于能量收集的无线传感器网络的传输。
Energy harvesting, which offers a never-ending energy supply, has emerged as a prominent technology to prolong the lifetime and reduce costs for the battery-powered wireless sensor networks. However, how to improve the energy efficiency while guaranteeing the quality of service (QoS) for energy harvesting based wireless sensor networks is still an open problem. In this paper, we develop statistical delay-bounded QoS-driven power control policies to maximize the effective energy efficiency (EEE), which is defined as the spectrum efficiency under given specified QoS constraints per unit harvested energy, for energy harvesting based wireless sensor networks. For the battery-infinite wireless sensor networks, our developed QoS-driven power control policy converges to the Energy harvesting Water Filling (E-WF) scheme and the Energy harvesting Channel Inversion (E-CI) scheme under the very loose and stringent QoS constraints, respectively. For the battery-finite wireless sensor networks, our developed QoS-driven power control policy becomes the Truncated energy harvesting Water Filling (T-WF) scheme and the Truncated energy harvesting Channel Inversion (T-CI) scheme under the very loose and stringent QoS constraints, respectively. Furthermore, we evaluate the outage probabilities to theoretically analyze the performance of our developed QoS-driven power control policies. The obtained numerical results validate our analysis and show that our developed optimal power control policies can optimize the EEE over energy harvesting based wireless sensor networks.
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