Network Behavior Estimation Method for Wireless Ad-Hoc Networks by Analyzing Data Transmission Traffic

In autonomous cars that use wireless ad hoc communication, a network abnormality may adversely affect the safety of the vehicle. Therefore, network monitoring technology is required that can be used to detect attacks and realize reliable networks. In this study, we propose a method to estimate network behavior by analyzing data transmission traffic for ad hoc networks used in autonomous cars. We estimate the communication route by proposing two algorithms for estimating the route terminals and the route switching time. The verification of these algorithms is performed using the QualNet network simulator. The results show that the route terminal estimation accuracy is 90 percent and the accuracy of the route switching time estimation is about 50 percent.