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Energy-Aware Healthcare System for Wireless Body Region Networks in IoT Environment Using the Whale Optimization Algorithm

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Abstract

Smart healthcare systems are important components in an IoT environment that attracted the researchers’ attentions, recently. For such applications the biomedical sensors are placed on patients’ body to gather the condition of the patient through a wireless body region network (WBAN). In a WBAN, energy consumption is one of the crucial issues, in particular in emergency situations. In this paper, a solution is presented using sensor node clustering methods. In the proposed method, body region is divided into three parts, upper, lower, and middle region. An improved LEACH clustering algorithm is performed in each region. After that, an evolutionary algorithm, whale optimization algorithm (WOA), is used to select cluster heads. To evaluate the proposed method, the algorithms are implemented in MATLAB environment and compared with SEP and LEACH-H solutions that are proposed before for the similar solutions. The proposed solution outperformed the other solutions and provide longer lifespan for sensors in a wireless body region network.

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Acknowledgements

Shanxi Province Education Science 13th Five-Year plan topic, application of UHF RFID technology in smart laboratory under the background of “Internet plus”, serial number: HLW-20128. Project No.: 2021-afcec-418 Subject name: Research on innovation and entrepreneurship education mode of Internet of things Engineering Specialty in Shanxi application oriented universities under the background of new engineering. Project No.: 2021-afcec-419 Project Name: Research on the application of SPOC mode MOOC in application oriented Colleges—Taking the Internet of things engineering major as an example. Project No.: 2021-afcec-418.

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  1. Department of Computer Science and Technology, Taiyuan University, Taiyuan, 030012, Shanxi, China

    Xiao-ru Li & He Jiang

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Li, Xr., Jiang, H. Energy-Aware Healthcare System for Wireless Body Region Networks in IoT Environment Using the Whale Optimization Algorithm. Wireless Pers Commun 126, 2101–2117 (2022). https://doi.org/10.1007/s11277-021-08762-z

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