Enhancing Throughput Cluster-Based WBAN Using TDMA and CCA Scheme

Abstract

WBAN comprises multiple sensor nodes strategically located on patients' bodies. They collect physiological signals from a patient under medical observation and transmit them to the medical personnel for further analysis via a medical server. These sensor nodes are energy-dependent. The challenges associated with WBAN are the power source, delay, and so on. Since their energy source is derived from rechargeable batteries, it is impossible to stop the network operation to replace the battery. Past articles concentrated more on the problem of enhancing network delay and throughput. However, they did not look into the area of TDMA and CCA schemes to improve their work. This brings their work into network energy degradation, which reduces their throughput. This article implements Enhancing throughput cluster-based DSCB by improving the existing Dual-sink clustering approach (DSCB). The simulation result depicted that the Enhanced throughput of iDSCB improved the performance of the current work DSCB in terms of throughput and End-to-End Delay by 6.60% and 3.14%, respectively.

Keywords

• CCA, Sink node, Transceiver nodes, TDMA, Throughput, WBAN