Neural Network Model Based Sleep Down Power Control for Mobile Ad-Hoc Network
Power control is needed to exchange messages between any pair of neighboring nodes. Mobile ad-hoc network capacity is increasing by reducing the transmit power level of nodes in network. Transmit power control depends on the protocol from physical to transport layers, including the three important parameters like data transfer rate, switching time and energy consumption. This paper is focus on energy consumption by transmitter and receivers. Power is consumed by nodes during switching in mobile ad-hoc network. Neuron network model concept is based on simulation result. This concept is more helpful as compare to other algorithm to solve power control problem in mobile ad-hoc network.