Open AccessHop-Count Aware Wireless Body Area Network for Efficient Data Transmission
Author(s) -
Matthew Iyobhebhe,
Aliyu D. Usman,
A M Tekanyi,
Ezekiel Ehimen Agbon
Publication year - 2022
Publication title -
indonesian journal of computing, engineering and design
Language(s) - English
Resource type - Journals
eISSN - 2656-8179
pISSN - 2656-1972
DOI - 10.35806/ijoced.v4i1.248
Subject(s) - body area network , computer science , cluster analysis , computer network , network packet , hop (telecommunications) , throughput , network performance , non line of sight propagation , wireless , wireless sensor network , telecommunications , machine learning
This work focuses on the clustering in Wireless Body Area Network (WBAN). Recently, it was found that less attention was given to Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) clustering in WBAN. Past works on LoS clustering WBAN consider the problem of enhancing the network throughput and end-to-end delay of the network. However, the problem of necessary hop count for packet transmission has not been considered. The non-consideration of necessary nodes hop count degrades the performance of cluster-based WBAN as throughput of the network is reduced in addition to high end-to-end delay. This work develops a hop count aware WBAN for enhancing the performance of body nodes called improved Dual Sink Approach using Clustering in Body Area Network (iDSCB). The simulation results depicted that the hop distance criterion of iDCSB improved the performance of WBAN in terms of end-to-end delay and throughput by 3.16% and 6.59%, respectively.