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Energy Efficiency Optimization for SWIPT-Enabled IoT Network with Energy Cooperation.

Yang Cao1, Ye Zhong2, Chunling Peng2

  • 1Periodical Agency, Chongqing University of Technology, Chongqing 400054, China.

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|July 9, 2022
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Summary
This summary is machine-generated.

This study introduces energy cooperation for simultaneous wireless information and power transfer (SWIPT) in Internet of Things (IoT) networks. The proposed method enhances system energy efficiency by optimizing power and time allocation while meeting QoS constraints.

Keywords:
IoTSWIPTenergy cooperationenergy efficiencypower allocationtime switching

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Area of Science:

  • Wireless communication networks
  • Energy harvesting technologies
  • Internet of Things (IoT) systems

Background:

  • Simultaneous Wireless Information and Power Transfer (SWIPT) extends the operational time of Internet of Things (IoT) devices.
  • Hybrid access points (H-APs) face fluctuating energy harvesting, necessitating solutions for stable energy supply.
  • Energy cooperation among base stations can facilitate renewable energy sharing to mitigate energy variability.

Purpose of the Study:

  • To maximize energy efficiency in SWIPT-enabled IoT networks with energy cooperation.
  • To address system constraints including energy harvesting, user Quality of Service (QoS), and transmission power.
  • To jointly optimize power allocation, time switching, and energy cooperation strategies.

Main Methods:

  • Formulated the problem as a nonlinear programming challenge.
  • Employed an alternating variable method with iterative algorithms for power allocation and time switching.
  • Utilized a matching algorithm to solve the energy cooperation problem.

Main Results:

  • The proposed algorithm demonstrates significant improvements in energy efficiency compared to existing methods.
  • Energy cooperation effectively reduces overall system energy consumption.
  • System energy efficiency is substantially enhanced through the integration of energy cooperation.

Conclusions:

  • The integration of energy cooperation is a viable strategy for improving energy efficiency in SWIPT-enabled IoT networks.
  • The developed joint optimization approach effectively balances energy efficiency with network constraints.
  • This research provides a framework for more sustainable and efficient wireless power and data transfer in IoT ecosystems.