Development of wearable sensors performance in medical system

The application of WBANs, or wireless body area networks, is a relatively new development to improve people’s health in general. This technology facilitates monitoring patients’ conditions both within and outside the confines of healthcare facilities, thereby enhancing their quality of life. One limitation of Wireless Body Area Networks (WBANs) is the constraint on battery life, affecting biosensors’ energy availability. Additionally, various routing protocols are specifically intended to transmit the collected data to a central station for subsequent analysis, with potential variations depending on the network’s design. This work proposed an algorithm that efficiently saves energy. The method is based on an adaptive compressed sensing algorithm. This algorithm utilizes a binary search approach to determine the smallest size for each data window piece, ensuring the reconstructed signal results from the Compressed. The outcomes demonstrate an increase in lifetime, Throughput, residual energy, and end-to-end latency for the WBAN employing the proposed approach. Where the lifetime of the system exhibited longevity beyond the 6400th round compared with the standard schemes observed network lifetime is 6000, this related to reduction of energy consumption from WBAN because of compression that effect on reduction of packet size send. From the results, this study demonstrates the superiority of the proposed methodology that can improve WBAN performance.