Selfish Node Isolation & Incentivation using Progressive Thresholds

Abstract

Abstract — The problems associated with selfish nodes in MANET are addressed by a collaborative watchdog approach which reduces the detection time for selfish nodes thereby improves the performance and accuracy of watchdogs[1]. In the related works they make use of credit based systems, reputation based mechanisms, pathrater and watchdog mechanism to detect such selfish nodes. In this paper we follow an approach of collaborative watchdog which reduces the detection time for selfish nodes and also involves the removal of such selfish nodes based on some progressively assessed thresholds. The threshold gives the nodes a chance to stop misbehaving before it is permanently deleted from the network. The node passes through several isolation processes before it is permanently removed. Another version of AODV protocol is used here which allows the simulation of selfish nodes in NS2 by adding or modifying log files in the protocol. Index Terms — Selfish nodes, Watchdogs, AODV. I