Forward Stepwise Regression Based Load Balanced Energy Efficient Routing In MANET
Mobile Ad hoc Network (MANET) is a network architecture distributed without any fixed infrastructure. Network nodes communicate with each other without any static infrastructure. The transmission range of the node is limited to the region around the node. Therefore, load-balanced routing is one of the key challenges for effective communication. A novel technique called Forward Stepwise Regression-based Load Balanced Energy Efficient Routing (FSR-LBEER) technique is introduced in MANET. The main objective of the FSR-LBEER technique is to perform efficient routing with minimum energy consumption and routing overhead. Initially, the number of mobile nodes are taken and combined to form the whole network. For each mobile node in the network, residual energy, distance, and bandwidth is estimated for constructing the route paths. Forward Node Selective Stepwise Regression is applied to select the neighboring node with higher residual energy, minimum distance, and lesser bandwidth utilization. The process gets repeated until it identifies the suitable neighboring mobile nodes between source and destination. Then the route path discovery is carried out using two control messages namely route request and route reply. In this way, multiple route paths are established in the mobile network for data transmission. During the data transmission process any link failure occurs, the stable alternate path is chosen from the available paths based on the better link connectivity and the data packets get transmitted to the destination node. In this way, the load-balanced routing gets achieved. Experimental evaluation of the FSR-LBEER technique is carried out on factors such as energy consumption, packet delivery ratio, packet loss rate, delay, and routing overhead with respect to the number of mobile nodes and data packets. The observed results from the simulation show that the FSR-LBEER technique efficiently increases the data packet delivery and minimizes the energy consumption, packet loss rate, delay, and routing overhead than the conventional routing techniques.