An Improved Selfish Node Detection in the Mobile Adhoc Network with the Consideration of Malicious Nodes Present in the Network

Objective/Background: The main goal of this work is to identify and remove the selfish nodes present in the mobile adhoc networks to improve the packet transmission rate considerably with the help of local watch dogs which would also communicated with the other nodes present in the environment.

Method/Statistical analysis: Communication based selfish node detection methodology is introduced in this work to prevent the high resource consumption cost in the network based on sharing the selfish node details with other nodes present in the environment. This communication would be established in case of establishment of communication between the nodes.

Findings: The experimental tests were conducted in the NS2 simulator environment with varying number of genuine nodes and the selfish nodes. The performance evaluation conducted were proves that the proposed methodology provides better result than the existing approach in terms of improved accuracy rate level.

Application/Improvements: From the findings it can proved that the proposed research work provides better performance results.