Wireless Powered Sensor Networks for Internet of Things: Maximum Throughput and Optimal Power Allocation
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Chu, Zheng, Fuhui, Zhou, Zhu, Zhengyu, Hu, Rose Qingyang and Xiao, Pei (2017) Wireless Powered Sensor Networks for Internet of Things: Maximum Throughput and Optimal Power Allocation IEEE Internet of Things Journal, 5 (1). pp. 310-321.
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Wireless Powered Sensor Networks for Internet of Things.pdf - Accepted version Manuscript Download (491kB) | Preview |
Official URL: https://doi.org/10.1109/JIOT.2017.2782367
Abstract
This paper investigates a wireless powered sensor network (WPSN), where multiple sensor nodes are deployed to monitor a certain external environment. A multi-antenna power station (PS) provides the power to these sensor nodes during wireless energy transfer (WET) phase, and consequently the sensor nodes employ the harvested energy to transmit their own monitoring information to a fusion center (FC) during wireless information transfer (WIT) phase. The goal is to maximize the system sum throughput of the sensor network, where two different scenarios are considered, i.e., PS and the sensor nodes belong to the same or different service operator(s). For the first scenario, we propose a global optimal solution to jointly design the energy beamforming and time allocation. We further develop a closed-form solution for the proposed sum throughput maximization. For the second scenario in which the PS and the sensor nodes belong to different service operators, energy incentives are required for the PS to assist the sensor network. Specifically, the sensor network needs to pay in order to purchase the energy services released from the PS to support WIT. In this case, the paper exploits this hierarchical energy interaction, which is known as energy trading. We propose a quadratic energy trading based Stackelberg game, linear energy trading based Stackelberg game, and social welfare scheme, in which we derive the Stackelberg equilibrium for the formulated games, and the optimal solution for the social welfare scheme. Finally, numerical results are provided to validate the performance of our proposed schemes.
| Item Type: | Article | ||||||||||||||||||
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| Divisions : | Faculty of Engineering and Physical Sciences > Electronic Engineering | ||||||||||||||||||
| Authors : |
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| Date : | 12 December 2017 | ||||||||||||||||||
| Funders : | Engineering and Physical Sciences Research Council (EPSRC) | ||||||||||||||||||
| DOI : | 10.1109/JIOT.2017.2782367 | ||||||||||||||||||
| Copyright Disclaimer : | Copyright © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. | ||||||||||||||||||
| Uncontrolled Keywords : | Wireless powered sensor networks; Sum throughput maximization; Energy trading; Stackelberg game; Social welfare | ||||||||||||||||||
| Depositing User : | Clive Harris | ||||||||||||||||||
| Date Deposited : | 08 Dec 2017 11:08 | ||||||||||||||||||
| Last Modified : | 16 Jan 2019 19:05 | ||||||||||||||||||
| URI: | http://epubs.surrey.ac.uk/id/eprint/845185 |
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