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

Abstract

The battery powered wireless hosts have limited energy. Hence, energy aware techniques with power saving mechanisms are resorted to conserve energy ofnodes 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 A1gorithm (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 Sour ce 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.

Enhancing MAC Layer Performance with Artificial Intelligence and Machine Learning: A Comprehensive Review

“…2-Power Control: Efficient power management is critical for extending network lifetime and reducing energy consumption in wireless devices. Traditional power control schemes often rely on fixed power levels or simple heuristics, which may not be optimal for all network scenarios[6]. AI and ML can enhance power control by enabling adaptive power adjustment based on real-time network conditions and device capabilities.…”

“…AI and ML can enhance power control by enabling adaptive power adjustment based on real-time network conditions and device capabilities. Deep learning algorithms can be used to model the complex relationships between power levels, transmission rates, and interference, leading to more efficient power allocation strategies[6]. 3-Contention Resolution: In wireless networks, multiple devices may compete for access to the shared medium, leading to collisions…”