Multi Mobile Agent Based Remote Health Monitoring

Better health is central to human happiness and well-being. Advancements in wearable sensors has facilitated the development of real time health monitoring for early diagnosis of diseases. This paper presents a mobile agent based wireless body area network approach to remote healthcare monitoring. Wireless Body Area Network is preferred due to its cost-effectiveness, relatively newer scheme of implementation and fairly accurate data collection. An algorithm based on minimum spanning tree has been used to generate the itinerary of multiple mobile agents in the network. The data collected from the sensors is processed and analyzed at the base station. Simulation of the system is done in Pygame and processing of data has been carried out using Scikit-Learn library. A sufficiently high degree of accuracy and throughput was obtained in the given implementation.