Energy Efficiency of MAC in Wireless Sensor Networks using logistic Regression Based Dynamic Duty Cycle

Wireless sensor networks (WSNs) used in different areas such as in military and defense, process control industry and health monitoring applications area. In WSNs sensors are small size with constraint battery capacity and there are different sources contribute to energy inefficiency in MAC- protocols like ours research problem idle listening. In this study we are used logistic regression based duty-cyclemethod to efficient energy in WSNs. In logistic regression based, all the nodes are allocated to the equivalent levels according to the hop count to the sink node, and calculate their minimum transmission delay to the sink node based on the shortest pathwayarrangement. Finally, simulation results show that their proposed algorithm can accomplish better performance compared with older AODV. After simulation, it was found that MAC with logistic regression is Power-Efficient over MAC without logistic regression without losing on the performance using MATLAB. It is conducted using MATLAB simulator based on 802.11 IEEE MAC layer standards. The Simulation evaluation is performed based on residual energy, throughput , packet delivery ratio , end-to-end delay ,and network life time. when we are appling logistic regration on MAC protocol 50% PDR, 70%Resudial enrgy, 25%throghput, and network life time are emproved but less in delay.