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Network lifetime optimization and route selection strategy towards energy enrichment in wireless body area networks

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Abstract

Medical breakthroughs are currently being made to widen human beings' existence. For the vast majority of online medical care applications, Wireless Body Area Networks (WBANs) have emerged as an intriguing and important invention. Route loss and obstacles in offering essential information are significant criteria that drain power from the battery source and impair battery lifespan. By employing Optimal K-Means Clustering (OKMC), all body sensor nodes are positioned in tandem to construct cluster head selection. This research explores a novel metaheuristic method for strengthening network lifetime optimization and a sophisticated route selection strategy incorporating the Energy Enrichment Multi-Hop Routing (EEMR) protocol. The EEMR is intended to operate in a pair of phases. The Enhanced Flower Bee Optimisation Algorithm (EFBOA) is laid out as the initial phase, with the key objective of augmenting the network lifetime of the WBAN by laying down a network of clusters. The next phase employs Dynamic Local Hunting and Location Discarding (DLH-LD) to figure out the fastest route among all possible paths. The results of this analysis are validated and implemented in real-time using MATLAB and the Network Simulator. Various protocols, such as Mobility-supporting Adaptive Threshold-based Thermal-aware Energy-efficient Multi-hop Protocol (M-ATTEMPT), Even Energy Utilization Convention Routing (EECR), and Energy Mindful Posterior Routing (EMPR), are being compared to parameters such as path loss, throughput rate, energy consumption, cost estimation, and network lifetime. The outcomes revealed that, in comparison with conventional approaches, the suggested EEMR performs substantially better than existing routing protocols, spanning a range of performance indicators. Additionally, the research and simulation findings show that the suggested protocol is 30% more energy efficient than existing protocols, extending the life of the network. The numerical results exhibit an extensive performance enhancement of 95% in network throughput rate.

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Authors and Affiliations

  1. Department of ECE, Sri Shanmugha College of Engineering and Technology, Salem, Tamilnadu, India

    R. Pradeep

  2. Department of ECE, Government College of Engineering, Salem, Tamilnadu, India

    G. Kavithaa

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All authors contributed to this research work. Material preparation, data collection and analysis were performed by [R.Pradeep] and [Dr.G.Kavitha]. All authors read and approved the final manuscript.

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Pradeep, R., Kavithaa, G. Network lifetime optimization and route selection strategy towards energy enrichment in wireless body area networks. Peer-to-Peer Netw. Appl. 17, 1158–1168 (2024). https://doi.org/10.1007/s12083-023-01612-8

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