Secured Healthcare Data Sharing Through Wireless Networks for Mobile Computing Using Trust-Bat-Adaptive Homomorphic Crypto Routing Protocol

Abstract

Abstract The Wireless Sensor Network's (WSN's) sensor nodes commonly communicate via mobiles, which have been widely regarded as the most prevalent and perhaps most important communication technology. Due to their self-configuration, ease of handling, and adaptability, WSNs have become more popular in mobile computing. The WSN is set up with extra nodes to transport data. As a result of their short memory, poor throughput, restricted capacity, and other limitations, sensor networks become notoriously difficult to secure. WSN has been grappling with how to maintain network security in mobile computing while using as little power as possible in current history. So, we present a novel trust-bat-adaptive homomorphic crypto routing protocol (TBAHCRP) to overcome these difficulties. Initially, we gather healthcare datasets from the medical server and deploy a 5G (fifth-generation) network to transfer these datasets from sending node to receiving node. The encryption and decryption are performed by employing the proposed technique and it also performs clustering and routing functionalities. A multi-gradient spider monkey optimization (MG-SMO) approach is applied to optimize the received data for mobile applications. Finally, performance metrics like security level, memory usage, energy efficiency, and energy consumption of the proposed technique are examined and compared with other classical techniques to prove our work with the greatest efficiency. These metrics are depicted in graphical form by using the MATLAB tool.