Fast Data Transmission in Hop-Count Aware WBAN

Long-term physiological monitoring through the wireless body area network (WBAN) has the potential to address issues including unequal access to healthcare and an ageing population. Wireless body-area networks may have disruptions in data transfer because to the complexity of human media. The approach uses a pixel by pixel to keep track of the previous states of the connections among nodes. Following this, a prediction function is used to evaluate the robustness of the relationship. Additionally, distinct health data is given varying broadcast priorities in light of the body area network's data heterogeneity. The node with the least projected transmission cost is chosen as the next hop to increase data transfer dependability, and this cost is estimated by combining residual energy, connection reliability, and length. The experimental results shown that this approach incorporates the features of both opportunistic routing and WBAN to efficiently and effectively communicate health information with significantly reduced latency.