A Predictive Routing Algorithm for WBSN Based on Kalman Filter Iterations

Deteriorating health status due to modern life style along with increased life expectancy seeks a potent health monitoring system in everyday living. Wireless body sensor networks (WBSN) are a result of this necessity. WBSNs require a new set of routing protocols as human body is an entirely different communication medium for electromagnetic waves. The primary quality of service that every routing protocol tries to achieve in a WBSN is reliable delivery of packets along with optimized life time. This paper presents a new link connectivity prediction-based protocol for routing in WBSN. Simulation results show that the proposed solution has better lifetime and packet delivery ratio than the existing predictive routing protocols.

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