Journal of Machine and Computing

An Insight on Optimization Techniques for Uncertain and Reliable Routing in Wireless Body Area Networks

Journal of Machine and Computing

Received On : 22 September 2022

Revised On : 15 January 2023

Accepted On : 12 February 2023

Published On : 05 April 2023

Volume 03, Issue 02

Pages : 126-143


In recent times, Wireless Body Area Networks a subsection of Wireless Sensor Network is a promising technology for future healthcare realm with cutting-edge technologies that can assist healthcare professionals like doctors, nurses and biomedical engineers. Machine Learning and Internet of Things enabled medical big data is the future of healthcare sector and Medical Technology-based industries leading to applications in other sectors such as fitness tracking for commercial purposes, Sportsperson health monitoring to track their day-to-day activities and wearable devices for critical and emergency care. This comprehensive review article addresses Wireless Body Area Network state-of-art and the dependence of Optimization Techniques and Meta-heuristic Algorithms for an efficient routing path between two sensor nodes: source node and destination node and it plays an effective role in optimizing the network parameters such as radio range, energy consumption, throughput, data aggregation, clustering and routing. Designing of energy-efficient routing for wireless body are network is such a challenging task due to uncertainty in dynamic network topology, energy constraints and limited power consumption. Optimization Techniques can help the researchers to achieve the drawbacks mentioned above and energy-efficiency of the network can be improved. In this article, we focus majorly on the efficiency of usage of optimization algorithms for Wireless Body Area Network routing mechanisms and a summary of its earlier studies during 2012-2023 epoch. Genetic Algorithm, Particle Swarm Optimization, Ant Colony Optimization, Artificial Bee Colony and Firefly Optimization algorithms were discussed on achieving local optima for better results through optimization. This article provides an insight into existing gaps and further modifications to the researchers in WBAN that can motivate them to propose new ideas for reliable solutions. Performance comparison and evaluation of different bio-inspired optimization algorithms has been discussed for further improvement in optimized routing algorithms.


Wireless Body Area Network, Wireless Sensor Network, Optimization Techniques, Meta-Heuristic Algorithms

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Author(s) thanks to Dr.Rajkumar Ganesan for this research completion and Data validation support.


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Karthikeyan Sakthivel and Rajkumar Ganesan, “An Insight on Optimization Techniques for Uncertain and Reliable Routing in Wireless Body Area Networks”, Journal of Machine and Computing, pp. 126-143, April 2023. doi: 10.53759/7669/jmc202303013.


© 2023 Karthikeyan Sakthivel and Rajkumar Ganesan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.