Stepwise Regression Based Resource Optimized Routing in Mobile Ad Hoc Networks
M. Ilango · International Journal for Research in Applied Science and Engineering Technology · 2018
A mobile ad hoc network (MANETs) is a group of mobile nodes forming an ad hoc network without fixed infrastructure. The optimal path selection in MANETs is a challenging task to improve the routing performance and to optimize the resource utilization. In order to overcome such limitation, Stepwise Regression based Resource Optimized Routing (SR-ROR) Technique is proposed. The main objective of SR-ROR technique is to select the best route path for reliable data packet transmission in MANETs. The SR-ROR is used Stepwise Regression technique to choose the mobile node among the collection of nodes in MANETs for route path selection. The Stepwise Regression technique selects the mobile nodes with higher residual energy, minimum delay, and minimum bandwidth and subsequently removes the lower values nodes during each step for data packet transmission. The Stepwise Regression technique in SR-ROR measures regression coefficient for finding the relationships between mobile nodes in order to perform routing in MANETs. The regression coefficient is determined by considering the residual energy, delay, bandwidth of mobile nodes. By using the measured regression coefficient value, SR-ROR technique chooses the mobile nodes with higher residual energy, minimum delay, and minimum bandwidth for transmitting the data packets in MANETs. This in turn helps for improving the network lifetime and packet delivery ratio in an effective manner. The performance of SR-ROR technique is measured in terms of energy consumption, end to end delay, and packet delivery ratio and network lifetime. The simulations result demonstrates that the SR-ROR technique is able to improve the packet delivery ratio and reduces the energy consumption for routing the data packet in MANETs when compared to state-of-the-art-works.