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Sensors 2017, 17(9), 1933; https://doi.org/10.3390/s17091933

Statistical-QoS Guaranteed Energy Efficiency Optimization for Energy Harvesting Wireless Sensor Networks

1
State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China
2
College of Physics and Electronic Information&Henan Key Laboratory of Electromagnetic Transformation and Detection, Luoyang Normal University, Luoyang 471934, China
*
Author to whom correspondence should be addressed.
Received: 21 June 2017 / Revised: 31 July 2017 / Accepted: 18 August 2017 / Published: 23 August 2017
(This article belongs to the Special Issue Wireless Rechargeable Sensor Networks)
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Abstract

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. View Full-Text
Keywords: energy harvesting; quality of service (QoS); power control; energy efficiency optimization; wireless sensor networks energy harvesting; quality of service (QoS); power control; energy efficiency optimization; wireless sensor networks
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Gao, Y.; Cheng, W.; Zhang, H. Statistical-QoS Guaranteed Energy Efficiency Optimization for Energy Harvesting Wireless Sensor Networks. Sensors 2017, 17, 1933.

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