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An Efficient Clustering Technique for Wireless Body Area Networks Based on Dragonfly Optimization
ОглавлениеBilal Mehmood and Farhan Aadil*
Computer Science Department, COMSATS University Islamabad, Attock Campus, Attock, Pakistan
Abstract
Wireless body area network (WBAN) is a network of tiny health monitoring sensors, implanted or placed on the human body to collect and communicate human physiological data. WBAN used to have a connection with Medical-Server to monitor patient’s health. It is capable to protect critical patient’s lives, due to its ability to continuous remote monitoring. Inter-WBAN system provides a dynamic environment for patients to move around freely. While moving, some of the WBANs (patients) may or may not be in the range of Remoter Base Station (RBS). Here we need an efficient approach for inter-WBAN communication. In the proposed clustered-based routing technique network overhead is reduced and cluster lifetime is increased. The cluster head act as a gateway in between cluster members and external network. Moreover, for the selection of optimized cluster heads, we used evolutionary algorithms to select the most optimized solution, within the set of solutions. In the clustering approach, network efficiency is dependent on the cluster’s lifetime. The proposed technique forms efficient clusters with an increased lifetime along with remarkable network and energy efficiency.
Keywords: Wireless body area network (WBAN), energy-efficient clustering, inter-WBAN routing