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arXiv · 2204.06850

An Energy Aware Clustering Scheme for 5G-enabled Edge Computing based IoMT Framework

Jitendra Kumar Samriya·Mohit Kumar·Maria Ganzha·Marcin Paprzycki·Marek Bolanowski·Andrzej Paszkiewicz
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Abstract

In recent years, 5G network systems start to offer communication infrastructure for Internet of Things (IoT) applications, especially for health care service pro-viders. In smart health care systems, edge computing enabled Internet of Medical Things (IoMT) is an innovative technology to provide online health care monitor-ing facility to patients. Here, energy consumption, along with extending the lifespan of biosensor network, is a key concern. In this contribution, a Chicken Swarm Optimization algorithm, based on Energy Efficient Multi-objective clus-tering scheme is applied in the context of IoMT system. An effective fitness func-tion is designed for cluster head selection., using multiple objectives, such as re-sidual energy, queuing delay, communication cost, link quality and node centrali-ty. Simulated outcomes of the proposed scheme are compared with the existing schemes in terms of parameters such as cluster formation time, energy consump-tion, network lifetime, throughput and propagation delay.

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Jitendra Kumar Samriya, Mohit Kumar, Maria Ganzha, Marcin Paprzycki, Marek Bolanowski, Andrzej Paszkiewicz. 2022-04-14. An Energy Aware Clustering Scheme for 5G-enabled Edge Computing based IoMT Framework. https://doi.org/10.1007/978-3-031-08754-7_23

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