ABSTRACT
WBAN (Wireless body area networks) have enabled continuous real-time monitoring of health professionals and patients. For example, monitoring blood pressure and other biological indicators can help predict heart attacks. Real-time applications require constant communication between source and destination sensor nodes. Developing real-time applications while maintaining the energy of the critical sensor nodes is difficult due to the dynamic network architecture of WBAN. To improve the network lifetime, throughput in terms of energy-efficient routing protocol in WBAN will play a vital role with the help of identifying the critical nodes in WBAN. In this study, we proposed an energy-efficient SD-WBAN (Software define-Wireless body area network) routing algorithm with the help of identifying the critical nodes and comparing them with the existing solutions. To determine the essential nodes of WBAN, we used the centrality measure.
