Reliable and Flexible Multi-Criteria Clustering Model for Internet of Vehicles

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Taj Yaser; Bakhshi Sareskanrood Bahador; ZandHessami Hesam

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Journal Paper

Paper Information

Journal: Industrial Management Perspective Year:2023 | Volume:13 | Issue:1 ( پیاپی 49) Page(s): 41-78

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Information Journal Paper

Title

Reliable and Flexible Multi-Criteria Clustering Model for Internet of Vehicles

Author(s)

Taj Yaser | Bakhshi Sareskanrood Bahador | ZandHessami Hesam | Issue Writer Certificate

Keywords

Clustering

Stable Clustering

Routing

Reliability

Internet of Vehicles

Abstract

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 road travels. Topology changes in IoV present significant challenges to the safety programs. Due to the variety of traffic conditions, the Reliability of current Clustering methods faces many risks. In this research, a multi-criteria Clustering model called RFCV has been proposed with the aim of increasing the Reliability of the Internet of Vehicles. This model is independent of infrastructure and introduces four new criteria: "history of vehicle movement," "conformity of vehicle speed with the harmonic average of nearby vehicles'''' speeds," "number of reliable neighbors," and "performance quality in previous clusters." The weight of moving vehicles is considered, and the one with the best weight is selected as the cluster head, while an alternative cluster head is also determined to improve cluster stability. The stability of the cluster ensures that message exchange is possible in the closest time to real-time. The efficiency of the proposed Clustering model has been theoretically proven, and simulations with multiple scenarios in SUMO and NS3 environments demonstrate the superiority of RFCV in increasing "route lifetime and packet delivery rate (PDR)" and decreasing "average delay and control overhead" in both densely populated urban and less-populated highway environments.

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