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A Cooperative Transmission Scheme in Radio Frequency Energy-Harvesting WBANs

Author

Listed:
  • Juncheng Hu

    (College of Computer Science and Technology, Jilin University, Changchun 130012, China)

  • Gaochao Xu

    (College of Computer Science and Technology, Jilin University, Changchun 130012, China)

  • Liang Hu

    (College of Computer Science and Technology, Jilin University, Changchun 130012, China)

  • Shujing Li

    (College of Computer Science and Technology, Jilin University, Changchun 130012, China)

Abstract

Wireless Body Area Network (WBAN) plays an important role in e-health, sports training, and entertainment to monitor human bodies wirelessly and remotely. One critical challenge for WBAN is to guarantee the quality of user experience and improve the network performance within such a resource-constrained and dynamic network. In the proposed paper, we investigate a cooperative radio frequency energy harvesting-based WBAN. Herein, we primarily focus on improving the energy efficiency and network performance through intelligent cooperation among nodes, allowing sensors with sufficient energy to assist other sensors in data uploading. We propose a relay selection method that considers both energy demand and energy harvest efficiency. Each sensor calculates the transmission power threshold required for data uploading based on the perceived channel state and determines whether it can act as a potential relay node in conjunction with its own energy harvest efficiency. The coordinator is responsible for optimizing collaborative transmission plans based on real-time network status. Experimental results show that the cooperative scheme performs better than the common single-hop scheme in terms of packet reception rate and packet arrival rate. In a network consisting of 10 sensors, the increase in packet reception rate ranges from 4.9% to 7.8% when the sensors are placed in preset fixed positions. When the sensors are randomly placed, the increase in packet reception rate ranges from 0.9% to 7.9% and from 0.7% to 7.4%, corresponding to δ values of 0.7 and 0.9, respectively.

Suggested Citation

  • Juncheng Hu & Gaochao Xu & Liang Hu & Shujing Li, 2023. "A Cooperative Transmission Scheme in Radio Frequency Energy-Harvesting WBANs," Sustainability, MDPI, vol. 15(10), pages 1-13, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8367-:d:1152352
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    References listed on IDEAS

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    1. Sunny Singh & Muskaan Chawla & Devendra Prasad & Divya Anand & Abdullah Alharbi & Wael Alosaimi, 2022. "An Improved Binomial Distribution-Based Trust Management Algorithm for Remote Patient Monitoring in WBANs," Sustainability, MDPI, vol. 14(4), pages 1-14, February.
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    Cited by:

    1. Jaeseob Han & Seung-Hyun Jeon & Gyeong-Ho Lee & Sangdon Park & Jun-Kyun Choi, 2023. "Power and Frequency Band Allocation Mechanisms for WPT System with Logarithmic-Based Nonlinear Energy Harvesting Model," Sustainability, MDPI, vol. 15(13), pages 1-27, July.

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