An IoT-enabled Healthcare Framework for Wireless Body Region 2 Networks Using the Gravitational Search Algorithm

Peng  Zhang; Man  Zhao

doi:10.6180/jase.202403_27(3).0003

An IoT-enabled Healthcare Framework for Wireless Body Region 2 Networks Using the Gravitational Search Algorithm

Computer Science and Information Engineering

Peng Zhang , Man Zhao

College of communications and Electronics Engineering, Qiqihar University, Qiqihar, HeiLongjiang, 161006, China

Received: April 15, 2023
Accepted: May 25, 2023
Publication Date: July 29, 2023

Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202403_27(3).0003

The smart city idea has gained much popularity in recent years because of its potential to enhance urban people’s quality of life. The idea encompasses a wide range of fields, including smart community, smart transportation, and smart healthcare. For intelligent decision-making, most smart city services, particularly those in the smart healthcare field, demand analyzing, processing, and real-time sharing of big healthcare data. The current state of the healthcare industry requires the supply of healthcare products and services, increasing its viability for everyone involved. This paper presents a novel healthcare framework based on clustering sensor nodes, where the physical body is separated into three areas: the bottom, top, and intermediate body regions. The regions are clustered using an enhanced LEACH algorithm. Cluster heads are selected using the Gravitational Search Algorithm (GSA). The MATLAB environment is used to evaluate the proposed framework by comparing it to other approaches. Our framework outperforms previous methods in terms of energy consumption and throughput by 20% and 30%, respectively.

Keywords: Internet of things; Healthcare; Gravitational Search Algorithm; Clustering; Optimization

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