Communication based clustering to detect selfish nodes in MANET

Abstract

Objective: The main intent of this research is to detect the selfish node in Mobile Ad-hoc Networks (MANETs) and to select the Cluster Head (CH) based on the energy level and Node Communication Ratio (NCR). Methods/Analysis: In this paper, a new mechanism is developed to identify the selfish nodes in the communication network. Based on the level of energy and the Node Communication Ratio, the Cluster Head is selected. The cluster head in turn is used to contribute to the network within its infrastructure range. The sink node will be noticing the behavior of each and every communicating node in the network. Results: The communication based clustering has proved better performance in terms of packet delivery rate, packet loss rate, packet delay rate and better energy efficiency during data transmission. Conclusion: The simulation results show that this scheme has improved quality of service compared to the existing scheme 2Ack. This scheme can be applied in the areas of military operations, emergency and disaster management in order to ensure reliable data delivery on-the-move.