  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.
