Reputation based Intelligent Control Protocol

Abstract

Intelligent traffic light control systems are proposed to solve the problem of congestion in urban areas. In this context, the connected vehicles are used to gather the real-time traffic data surrounding environment. The involvement of vehicles in the control of traffic can reduce considerably the travel delay and maximize throughput. However, if the reported information is fake, then the result could be catastrophic, such as road accidents. Also, the malicious vehicles can send fake displacement urgency to their supervised traffic light, to reach their destinations as fast as possible. To tackle this problem, we propose a Reputation model based Intelligent COntrol Protocol (RICOP). In this protocol, each traffic light computes the negotiating vehicle’s reputation based on its dynamic behavior, the opinions of located traffic lights, and its historical reputation monitored by nearest roadside unit (RSU). According to the reputation value, the traffic light takes an appropriate decision. RICOP guarantees the integrity and authentication of exchanged messages using digital signature and certificateless cryptography. Also, the privacy of the vehicle and its driver is preserved using a pseudonym. To evaluate the effectiveness of our proposal, we set a series of simulations in a network simulator NS3. The results are satisfactory in terms of delay, accuracy and computational cost.