Improvement of a Cluster-based Energy-Efficient Algorithm for Wireless Body Area Network

International Journal of Computer Science and Engineering

© 2025 by SSRG - IJCSE Journal

Volume 12 Issue 1

Year of Publication : 2025

Authors : Blessing Anuoluwapo Jinadu, John Samuel Ndueso, Etinosa Noma-Osaghe, Joshua Sokowonci Mommoh, Hayatu Idris Bulama, Funminiyi Olajide

10.14445/23488387/IJCSE-V12I1P104

How to Cite?

Blessing Anuoluwapo Jinadu, John Samuel Ndueso, Etinosa Noma-Osaghe, Joshua Sokowonci Mommoh, Hayatu Idris Bulama, Funminiyi Olajide, "Improvement of a Cluster-based Energy-Efficient Algorithm for Wireless Body Area Network," SSRG International Journal of Computer Science and Engineering , vol. 12,  no. 1, pp. 16-30, 2025. Crossref, https://doi.org/10.14445/23488387/IJCSE-V12I1P104

Abstract:

The increasing prevalence of terminal diseases has heightened the need for reliable, efficient, and intelligent monitoring systems to ensure timely medical intervention. Wireless Body Area Networks (WBANs) have gained attention as a critical technology for addressing this challenge. Leveraging mobile phones and Personal Digital Assistants (PDAs), WBANs offer advanced, energy-efficient data transmission with high packet rates, enabling rapid health data delivery. This research proposes an enhanced cluster-based energy-efficient routing algorithm (iRK) for WBANs, incorporating a two-sink head architecture for improved reliability. One sink head is positioned at the front of the body, while a backup sink head is placed at the back to ensure uninterrupted communication in case of energy depletion at the primary sink. Additionally, a forwarder node selection mechanism is introduced to mitigate high end-to-end delays and path loss, optimizing the packet delivery process. Compared to the existing RK algorithm, the iRK demonstrates a 15.43% improvement in packet delivery rate, a 40% reduction in path loss, a 4.24% increase in network lifetime, and a 2.83% boost in node residual energy. These advancements contribute to a more robust and energy-efficient WBAN, enabling real-time health monitoring with enhanced reliability. The proposed system offers a promising solution for managing terminal diseases, improving patient care through continuous monitoring, and advancing the practical applications of WBANs in healthcare systems.

Keywords:

Personal Digital Assistants (PDAs), Improved Rahat Khan( iRK), residual energy, Rahat Khan (RK), Wireless Body Area Network (WBAN).

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