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Sensors 2017, 17(8), 1906; https://doi.org/10.3390/s17081906

Energy Efficiency Maximization for WSNs with Simultaneous Wireless Information and Power Transfer

1
College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China
2
Department of Electrical & Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA
*
Authors to whom correspondence should be addressed.
Received: 30 June 2017 / Revised: 13 August 2017 / Accepted: 15 August 2017 / Published: 18 August 2017
(This article belongs to the Special Issue Wireless Rechargeable Sensor Networks)
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Abstract

Recently, the simultaneous wireless information and power transfer (SWIPT) technique has been regarded as a promising approach to enhance performance of wireless sensor networks with limited energy supply. However, from a green communication perspective, energy efficiency optimization for SWIPT system design has not been investigated in Wireless Rechargeable Sensor Networks (WRSNs). In this paper, we consider the tradeoffs between energy efficiency and three factors including spectral efficiency, the transmit power and outage target rate for two different modes, i.e., power splitting (PS) and time switching modes (TS), at the receiver. Moreover, we formulate the energy efficiency maximization problem subject to the constraints of minimum Quality of Service (QoS), minimum harvested energy and maximum transmission power as non-convex optimization problem. In particular, we focus on optimizing power control and power allocation policy in PS and TS modes to maximize energy efficiency of data transmission. For PS and TS modes, we propose the corresponding algorithm to characterize a non-convex optimization problem that takes into account the circuit power consumption and the harvested energy. By exploiting nonlinear fractional programming and Lagrangian dual decomposition, we propose suboptimal iterative algorithms to obtain the solutions of non-convex optimization problems. Furthermore, we derive the outage probability and effective throughput from the scenarios that the transmitter does not or partially know the channel state information (CSI) of the receiver. Simulation results illustrate that the proposed optimal iterative algorithm can achieve optimal solutions within a small number of iterations and various tradeoffs between energy efficiency and spectral efficiency, transmit power and outage target rate, respectively. View Full-Text
Keywords: SWIPT; energy efficiency; energy-spectral efficiency tradeoff; effective throughput; wireless rechargeable sensor networks SWIPT; energy efficiency; energy-spectral efficiency tradeoff; effective throughput; wireless rechargeable sensor networks
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Yu, H.; Zhang, Y.; Guo, S.; Yang, Y.; Ji, L. Energy Efficiency Maximization for WSNs with Simultaneous Wireless Information and Power Transfer. Sensors 2017, 17, 1906.

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