An Integrated Approach For Energy Efficient Routing Over Ad-Hoc Network Using Soft Computing

Abstract

In the past few years, wireless communication has grown rapidly. Through these greatest feature is provided by the network without wires. Handheld devices and any user can take their place. They benefit from a small device, the long-lasting battery. The new communication standard for high-bandwidth services. For communication, the fixed network infrastructure through such is not necessary. These self-organizing network (Ad hoc networks) has received a massive interest in recent times. The most common application of wireless networks is set standard for mobile communications (GSM) and wireless local area network (WLAN). Node is not arranged in any particular manner in such a network. Therefore, in order to ensure communication between the nodes, a number of routing protocols have been developed for such a network. In this proposed system we design the network on adoc network those have some node and we will use the artificial neural network for the training and testing the network. In this system we will give the input neuron value and set a bias value for the purpose of training of network to improve the efficiency of network. After the number of training session in network we get the less energy consumption in that particular network. The objective of this paper work, the process of the minimum number of hops through the use of physical layer information instead of the default distance vector algorithm proposed amendments after AODV routing protocol version based routing discovery.