Route Optimizations Using Genetic Algorithms for Wireless Body Area Networks

There is a lot of research taking place in this fast and growing technology, namely Wireless Body Area Networks (WBAN), to improve network performance. This work focuses to improve the WBAN system which is used in hospitals for the benefits of patients as well as doctors easiness. A lot of work can be identified in the same field and used as literature. Different researchers use different techniques to minimize energy consumption, packet delivery ration like Kruskal’s algorithm, Prim’s algorithm, particle swarm algorithm, etc. The energy of a sensor node gets impacted due to transmission distance, ideal routing protocols, and amount of data to be transmitted. Genetic algorithm (GA) which is a natural evolutionary algorithm and finds the optimal path to reach to destination which provides benefit to the patients in terms of their valuable data (patient’s report). Using GA along with fuzzy logic and cluster head selection, better results will be provided for packet delivery ratio and normalized residual energy, which further itself improves network lifetime.