A hybrid genetic fuzzy approach for power control cross layer MAC protocol in wireless network

The battery powered wireless hosts have limited energy. Hence, energy aware techniques with power saving mechanisms are resorted to conserve energy of nodes in wireless networks. Power based connectivity is an ad hoc implements power control mechanisms to enhance network life by improving throughput, locating cost effective routes and spatial reuse. This study uses MAC protocol to implement coordination functions and power control mechanisms through Genetic Algorithm (GA). Upper network layers generated Fuzzy rules using two input variables like link quality and node neighborhood count; with optimal power consumption level as an output variable. Experiments with GA fuzzy rules are compared with Dynamic Source Routing (DSR) routing and two hop power control methods. The results reveal that the two hop power control with GA fuzzy logic method lowers route discovery time, increases cache replies, minimizes simulation time and end to end delay in contrast to DSR routing and two hop routing protocols.