Fuzzy Rough Set Theory Based MAC Model for Wireless Body Area Networks

Abstract

The health care system with Wireless body sensor networks is functioning in irreconcilable circumstances. All packet transmissions are served for the particular application by satisfying the quality of service parameters without distressing battery life time of body sensors.  To fulfill the requirements, distributed queuing body area networks (DQBAN) scheme is come into existence as substitute enrichment protocol to 802.15.4 MAC. Instead of fuzzy logic scheduling scheme, rough set theory and a novel cross layer fuzzy rough set theory (FRST) is introduced. FRST is the integration of fuzzy and rough set theories, and it is used to greatly reduce data redundancy. Experimental results show that fuzzy-rough set scheduling is more powerful than the conventional rough set based approach. The proposed scheme achieves considerable low power utilization and suitablefor coexisting scenarios. Simulation is carried out using MATLAB.