Route Discovery Based Analogous Energy Predicting Model for Mobile Ad-Hoc Networks

摘要

Energy consumption measurement is the necessity to determine the energy used by nodes for perfect transmission of data with certain data transfer rate and battery power in Mobile Ad-hoc Network (MANET). Node is associated with remaining energy after transmission and receiving of data in the network. In this research work, an energy control technique with simulation result describes the impact of remaining energy on the network connectivity. Remaining energy of node is determined by energy consumption of nodes in switching, transmission and receiving of data in ad-hoc network. Simulation environment with simulator is not sufficient solution for the measurement of energy utilization in the network. Simulator is based on the setup of network variables to determine the energy used by node for predefined phases of the network. In order to overcome this problem, neural network based continuous measurement approach is more effective to determine energy of nodes to improve the operational time of network. The proposed work with MATLAB tool aims at discovering an alternate solution as neural network model based energy control approach to find the shortest path with minimum remaining of nodes in the network.