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Two-Tier Cooperation Based High-Reliable and Lightweight Forwarding Strategy in Heterogeneous WBAN

Author

Listed:
  • Jirui Li

    (School of Information Technology, Henan University of Chinese Medicine, Zhengzhou 450046, China
    These authors contributed equally to this work.)

  • Junsheng Xiao

    (School of Information Technology, Henan University of Chinese Medicine, Zhengzhou 450046, China)

  • Jie Yuan

    (Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Beijing 100876, China
    These authors contributed equally to this work.)

Abstract

Due to the limited and difficult access to sensor energy, energy conservation has always been an important issue in wireless body area network (WBAN). How to make full use of the limited energy of heterogeneous sensors in WBAN to achieve lightweight and high-reliable data transmission has also become key to the sustainable development of telemedicine services. This paper proposes a two-tier cooperation based high-reliable and lightweight forwarding (TTCF) mechanism via minimizing the amount of transmitted data and optimizing forwarding performance, so as to improve the efficiency and reliability of WBAN and reduce system energy consumption. In TTCF, an adaptive semi-tensor product compressed sensing evolution (STPCSE) model is first constructed to minimize the amount of data to be transmitted and extend the lifetime of sensors. Then, the important factors closely related to the energy consumption of human body sensors, including sampling frequency, residual energy and their importance in the network, are analyzed and redefined, and a high-reliable and lightweight forwarding model based on a multi-factor dynamic fusion is built. Finally, the performance and energy-saving effect of TTCF in a dynamic WBAN environment are compared and analyzed. Simulation results show that the system with our TTCF always performs the best in terms of data reconstruct accuracy, cumulative delivery rata, energy consumption and throughput. For example, its cumulative delivery rate is about 12% and 20.8% higher than that of UC-MPRP and CRPBA, and its residual energy and throughput are 1.22 times and 1.41 times, 1.35 times and 1.6 times of the latter two, respectively.

Suggested Citation

  • Jirui Li & Junsheng Xiao & Jie Yuan, 2023. "Two-Tier Cooperation Based High-Reliable and Lightweight Forwarding Strategy in Heterogeneous WBAN," Sustainability, MDPI, vol. 15(6), pages 1-24, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5588-:d:1104300
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    References listed on IDEAS

    as
    1. Haipeng Peng & Ye Tian & Jürgen Kurths, 2017. "Semitensor Product Compressive Sensing for Big Data Transmission in Wireless Sensor Networks," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-8, March.
    2. Tang, Yu & Li, Lulu & Lu, Jianquan, 2022. "Modeling and optimization for networked evolutionary games with player exit mechanism: Semi-tensor product of matrices method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 590(C).
    3. V. Muthu Ganesh & Janakiraman Nithiyanantham, 2022. "Heuristic-based channel selection with enhanced deep learning for heart disease prediction under WBAN," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 25(13), pages 1429-1448, October.
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