Optimal Threshold Analysis for Triggering Fail-Safe Mechanism in Vehicular Ad Hoc Networks

A novel approach is proposed to estimate the optimal threshold of broadcast messages in vehicular ad hoc networks in order to detect misbehaving nodes and prevent broadcast storms. This threshold value is estimated based on the number of incoming and outgoing data statistics and metrics to be used to judge if the node is behaving properly. To avoid misjudgement and false alarms, the accuracy of the estimate of the threshold value is very important. Our method and detection technique are based on the IEEE 802.11p MAC protocol and weighted p-persistence routing protocol. The main contribution of this paper is proposing an analytical model to accurately estimate the optimal threshold value to trigger the fail-safe mechanism for misbehaving cars. Computer simulation results using Veins simulator show that analytical models work properly.