| Title |
An IoT-enabled Healthcare Framework For Wireless Body Region Networks Using The Gravitational Search Algorithm |
| ID_Doc |
44238 |
| Authors |
Zhang, P; Zhao, M |
| Title |
An IoT-enabled Healthcare Framework For Wireless Body Region Networks Using The Gravitational Search Algorithm |
| Year |
2024 |
| Published |
Journal Of Applied Science And Engineering, 27, 3 |
| DOI |
10.6180/jase.202403_27(3).0003 |
| Abstract |
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. |
| Author Keywords |
Internet of things; Healthcare; Gravitational Search Algorithm; Clustering; Optimization |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001093390500003 |
| WoS Category |
Engineering, Multidisciplinary |
| Research Area |
Engineering |
| PDF |
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