Abstract
5G networks offer novel communication infrastructure for Internet of Things applications, especially for healthcare applications. There, edge computing enabled Internet of Medical Things provides online patient status monitoring. In this contribution, a Chicken Swarm Optimization algorithm, based on Energy Efficient Multi-objective clustering is applied in an IoMT system. An effective fitness function is designed for cluster head selection. In a simulated environment, performance of proposed scheme is evaluated.
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Samriya, J.K., Kumar, M., Ganzha, M., Paprzycki, M., Bolanowski, M., Paszkiewicz, A. (2022). An Energy Aware Clustering Scheme for 5G-Enabled Edge Computing Based IoMT Framework. In: Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13351. Springer, Cham. https://doi.org/10.1007/978-3-031-08754-7_23
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