Hybrid PSO-GSO-SFG Optimization for Enhanced Cluster Formation and Routing in WSN-Based Healthcare Monitoring Systems

DOI

10.2991/978-94-6463-858-5_126How to use a DOI?

Keywords

Wireless Sensor Network (WSN); Hybrid Optimization; Particle Swarm Optimization (PSO); Cluster Head Selection; Routing Efficiency; Energy Efficiency

Abstract

Both disease detection using Wireless Sensor Networks (WSN) and the health care industry may be greatly augmented with the employment of hybrid optimization algorithms. Herein, the current research propounds a novel hybrid optimization approach by combining PSO with GSO and SFG. The suggested method significantly improves Cluster Head (CH) selection and routing by exploiting the synergistic benefits of PSO and GSO for global search purposes and SFG for accurate fine-tuning. This technique enables more effective CH selection, thus saving energy consumption and transmission delays. It has multiple objectives, such as energy efficiency, node proximity, and network lifetime, which dynamically change based on the characteristics of WSNs. Commutative simulations establish that throughput, latency, and energy efficiency significantly outdo each algorithm by leaps and bounds. This approach hugely enhances the cluster and route establishment processes to render efficient and timely data transfer to make it of particular use for mission-critical healthcare applications such as the identification of lung cancer. Hybrid PSO-GSO-SFG is an enhancement over decision-making accuracy and lengthening the running time of the whole energy system, thus with huge potential in facilitating WSN improvement. More future work shall emphasize scaling the technique to apply in larger-scale networks and combining efficient constraints such as mobility and real-time computing for maximizing application efficiency in real-world healthcare setups.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - K.  Pushpavalli
AU  - M. Arasakumar
AU  - S. Balaji
PY  - 2025
DA  - 2025/11/04
TI  - Hybrid PSO-GSO-SFG Optimization for Enhanced Cluster Formation and Routing in WSN-Based Healthcare Monitoring Systems
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 1533
EP  - 1554
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_126
DO  - 10.2991/978-94-6463-858-5_126
ID  - Pushpavalli2025
ER  -