Optimized Authentication for Wireless Body Area Network

Abstract

In this paper, we propose a novel technique for determining the Cyclic Redundancy Code (CRC) polynomials with the help of a heuristic search (Genetic Algorithms) for Wireless Body Area Networks (WBAN). We apply the resulting CRCs and an encryption technique for improving the error detection in the WBANs. Thereafter, we compare the resulting polynomials, with or without the encryption headers with the benchmark polynomial. Since the Ad-hoc On-demand Distance Vector (AODV) routing protocol is practical in WBAN, we integrated this protocol with the proposed technique for evaluating its performance. The main objective is to improve the error detection rate, which then improves the Packet Delivery Ratio (PDR) along with the network resource usage efficiency. The results indicated that this method is very successful, as it improved the PDR while decreasing the end-to-end (E2E) delay. The overhead is seen to increase because of the use of a novel control message. Also, the energy consumption increased due to the error messages was resent and due to the retransmission of the data packets. All these increased values are acceptable and led to an 80% increase in the PDR values for the stand-up scenario and a 23% increase for the hand waving scenario.