Minimization of End-to-End Delay for an Improved Dual-Sink Cluster-Based Routing in WBAN

Abstract

Wireless Body Area Networks (WBANs) are an integral part of a Wireless sensor network, where sensor nodes are strategically placed in the human body to sense physiological signals and transmit them to the medical personnel via server for medical observations. Every sensor node in WBANs has a general limitation in energy efficiency, end-to-end delay, residual energy, etc. Also, the high energy consumption in WBANs is mainly due to the number of hops covered during physiological signal transmission. This work developed a hop-distance scenario to address these challenges and improve on what others have done. It buffered traffic estimation schemes to minimize end-to-end delay and the total network energy efficiency. This work minimizes end-to-end delay dual-sink cluster-based routing in WBANs by improving the existing dual-sink-sink cluster-based scheme (iDSCB). The simulation result shows that the Minimization of end-to-end delay of the improved dual-sink cluster-based (iDSCB) enhanced the performance of the current article DSCB in terms of end-to-end delay and residual energy by 3.15% and 8.88%, respectively.