Impact Analysis of Sink Mobility on Fault Tolerance and Delay in Wireless Body Area Networks (WBANs)

Abstract

Wireless Body Area Networks (WBANs) has become an integral part of the Internet of Things (IoT) era thereby. Due to the movements of the human body, the properties of WBAN radio propagation are dynamic and therefore the entire process of communication between nodes and sink develops a big challenge. Nodes existing near to the static sink are always seemed to be busy in data transmission due to which node exhausts its energy much before than the nodes existing away from the sink. Sink mobility serves the above-mentioned challenge. To evaluate the performance of WBAN we have presented two mobility models i.e., i) Random Waypoint Mobility Models (RWM) and ii) Random Direction Mobility Models (RDM) with static and movable sink and Network Simulator 2.35 is used for simulation of the models. The Models are evaluated on the following parameters; Packet Delivery Ratio, Average End-to-End delay, overall Energy consumption, Average Throughput.