Medical data quality management using butterfly optimization with adaptive threshold sensitive energy‐efficient routing protocol and multidimensional chaotic blowfish encryption in wireless body networks

Abstract

AbstractNowadays, medical applications require much medical information to analyze various diseases. To collect various medical data, wearable devices collect patient health and medical details using a wireless body area network. The collected details consist of several critical details: oxygen level, heart attack information, blood pressure, airflow and so forth. These details are broadcast to the healthcare centers using wireless technologies to make clinical decisions. During medical information transfer, the data quality and critical events are difficult to maintain because it reduces the packet delivery, transmission delay, and high energy. So, this article introduces bacterial optimization and adaptive threshold‐sensitive energy‐efficient routing protocol (BOATSEE) to transmit the medical data. The method aggregates the sensitive data by selecting the cluster head and effectively broadcasts the critical data. In addition, the optimized method manages the network lifetime and energy using an energy‐efficient method. Also, we have proposed a multidimensional chaotic blowfish encryption (MCBE) algorithm to enhance the system's security. Then the system's efficiency is computed based on metrics like energy consumption, packet delivery ratio, end‐to‐end delay, and QoS metric‐associated restraints. The results reveal that the proposed system is efficient in managing the medical data quality with minimum energy utilization, packet loss rate, delay, and maximum packet delivery ratio when compared with the conventional approaches. Our method also proved to be more secure than the traditional systems.