Enhanced Energy Efficient Bio-trusted Anonymous Authentication Routing Technique of Wireless Body Area Network

Abstract

Wireless Sensor Networks (WSN) are rapidly developing technological platform with tremendous applications in several domains. Body Sensor Network (BSN) plays a major role in the fields of social welfare, medical treatment and sports. The major problems identified in health care based sensor networks are energy consumption and lifetime. These two factors directly depend on clustering and routing and hence this research resolves in enhanced uniform clustering of the sensor nodes. Initially, routing with better load balancing is determined by tree clustering technique. The K-Nearest Neighbor (K-NN) algorithm is used to enhance the uniform clustering of sensor nodes. Secondly, the biometric iris fusion based trusted anonymous secured routing protocol is proposed to preserve two factors namely anonymity and unlinkabilty of the wireless body area network. Finally, secure routing technique based on retina with DNA coding is made with the help of onion routing to avoid computational overheads.