A poly_hop message routing approach through node and data classification for optimizing energy consumption and enhanced reliability in WBAN

Wireless body area network (WBAN) is emerging as one of the most advanced remote health monitoring networks. It consists of different wearable or implanted personal computing devices with variety of resources for providing multiple functionalities. Routing plays a key role in WBAN to gather the sensor data and route through intermediate nodes to reach the destination with minimum amount of energy. As WBAN consists of miniature sensor devices with less amount of energy, we should never burden the sensors with more computations which may result in drastical drainage of battery. In this paper, we have proposed an efficient message routing approach through multiple hops and node classification, so that energy consumed by individual sensors can be less. As WBAN deals with medical sensitive records, data needs to be transmitted securely. So, we have also addressed another downside of using WBAN, i.e., reliability. To enhance communication reliability in WBAN, we have proposed classification of transmitted data so that more security can be provided to the crucial messages compared to regular messages. The novelty of this approach is that data prioritization is done dynamically at the tier-2 of WBAN. The proposed approach is validated by comparing the result with that of a conventional approach.