Enhancing the Performance of AODV Routing Protocol for Selfish Node Detection in MANET

Recently, a better approach to access computing services is necessary because of the growing popularity of portable computers and consumer needs. Self-configuring wireless networks without a defined infrastructure are known as mobile ad hoc networks, or MANETs. MANETs are susceptible to a range of assaults because of their dynamic network architecture, lack of central monitoring, and inadequate security measures. Detecting a node's misbehavior in a MANET and successfully validating the selfish node using an algorithm for detecting selfish nodes are the main goals of this study. The discovery results in decreased retransmission and improved performance across all network parameters. In this study, the routing algorithm used was AODV. The suggested approach is implemented using the NS2 simulation tool. Our suggested technique enhances the packet delivery ratio, throughput, and reduces packet drop and delay—all of which are network metrics that are compared and analyzed—both with and without selfish nodes. The suggested AODV protocol improved the simulation study based on the routing performance in terms of throughput, packet lost, packet delivery ratio, and end-to-end delay. However, the simulation result analysis revealed that the end-to-end delay reduced from 1.902 to 1.08, the throughput improved from 674.52 to 724.521, the packet delivery ratio improved from 85.60 to 87.6638, and the packet lost improved from 34.40 to 32.38. We came to the conclusion that the suggested Selfish node detection algorithm showed improvement in all performance parameters examined.