Document Type : Original Article


1 Ph.D. student, Department of Information Technology Management, Science and Research branch, Islamic Azad University, Tehran, Iran.

2 Assistant Professor, Department of Architecture and Computer Networks, Amirkabir University of Technology, Tehran, Iran.

3 Assistant Professor, Department of Industrial Management, Science and Research branch, Islamic Azad University, Tehran, Iran.



The Internet of Vehicles is a new framework for intelligent transportation systems. One of its goals is to improve safety and increase the quality of service for road travel users. Topology changes in IoV present significant challenges to the operation of safety programs. In most existing clustering methods, due to road conditions, in addition to generating control overheads, reliability in safety programs is compromised. In this research, to increase the reliability of routing in IoV, a multi-criteria clustering model without infrastructure dependence called RFCV has been proposed by introducing four new criteria entitled "history of vehicle movement", "Conformity of vehicle speed with the harmonic average of speed of nearby vehicles", "Number of reliable neighbors" and "Performance quality in previous clusters", the weight of vehicles is calculated, and one of them with the best weight is selected as the cluster head. An alternative cluster head is also determined to improve the stability of the cluster. The stability of the cluster makes it possible to exchange messages in vehicular networks in the nearest time compared to real-time. The efficiency of the proposed model is theoretically proven, and simulations with multiple scenarios in SUMO and NS3 environments show the superiority of the RFCV in increasing the path life and packet delivery rate and reducing the average delay and control overhead.


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