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Sensors 2017, 17(3), 547; doi:10.3390/s17030547

Optimal Power Control in Wireless Powered Sensor Networks: A Dynamic Game-Based Approach

1
School of Computer and Communication Engineering, University of Science and Technology Beijing; Beijing 100083, China
2
Communication Engineering Department, Beijing Electronics Science and Technology Institute, Beijing 100070, China
3
School of Information and Electrical Engineering, Hebei University of Engineering, Handan 056038, China
*
Author to whom correspondence should be addressed.
Academic Editors: Yuanyuan Yang and Songtao Guo
Received: 28 December 2016 / Revised: 16 February 2017 / Accepted: 8 March 2017 / Published: 9 March 2017
(This article belongs to the Special Issue Wireless Rechargeable Sensor Networks)
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Abstract

In wireless powered sensor networks (WPSN), it is essential to research uplink transmit power control in order to achieve throughput performance balancing and energy scheduling. Each sensor should have an optimal transmit power level for revenue maximization. In this paper, we discuss a dynamic game-based algorithm for optimal power control in WPSN. The main idea is to use the non-cooperative differential game to control the uplink transmit power of wireless sensors in WPSN, to extend their working hours and to meet QoS (Quality of Services) requirements. Subsequently, the Nash equilibrium solutions are obtained through Bellman dynamic programming. At the same time, an uplink power control algorithm is proposed in a distributed manner. Through numerical simulations, we demonstrate that our algorithm can obtain optimal power control and reach convergence for an infinite horizon. View Full-Text
Keywords: differential game; power control; WPSN differential game; power control; WPSN
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Xu, H.; Guo, C.; Zhang, L. Optimal Power Control in Wireless Powered Sensor Networks: A Dynamic Game-Based Approach. Sensors 2017, 17, 547.

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