Wireless Powered Sensor Networks for Internet of Things: Maximum Throughput and Optimal Power Allocation

Zheng Chu, Fuhui Zhou, Zhengyu Zhu, Rose Qingyang Hu, Pei Xiao

Research output: Journal PublicationArticlepeer-review

133 Citations (Scopus)


This paper investigates a wireless powered sensor network, where multiple sensor nodes are deployed to monitor a certain external environment. A multiantenna power station (PS) provides the power to these sensor nodes during wireless energy transfer phase, and consequently the sensor nodes employ the harvested energy to transmit their own monitoring information to a fusion center 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, this 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.

Original languageEnglish
Article number8187650
Pages (from-to)310-321
Number of pages12
JournalIEEE Internet of Things Journal
Issue number1
Publication statusPublished - Feb 2018
Externally publishedYes


  • Energy trading
  • Stackelberg game
  • social welfare
  • sum throughput maximization (STM)
  • wireless powered sensor networks (WPSNs)

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications


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