A Game Theory-based Mechanism to Optimize the Traffic Congestion in VANETs

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Raeisi Lejjy Khalilollah; Amiri Esmaeil; Alizadeh Emad; Rezvani Mohammad Hossein

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2020 | Issue:6

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Title

A Game Theory-based Mechanism to Optimize the Traffic Congestion in VANETs

Author(s)

Raeisi Lejjy Khalilollah | Amiri Esmaeil | Alizadeh Emad | Rezvani Mohammad Hossein

Keywords

Vehicular Ad-hoc networks (VANETs)

Traffic Congestion

Optimization

Game Theory

Mechanism Design;Non-cooperative Game

Abstract

One of the key issues in Vehicular Ad-hoc networks (VANETs) is to optimize the Traffic Congestion. Cooperation in these networks is a challenging issue due to their specific characteristics. In this paper, a non-cooperative Game Theory-based approach is introduced for packet forwarding. Through extensive mathematical analyses and also experimental validation, we prove that the proposed non-cooperative game mechanism attains the Nash equilibrium point. Our designed mechanism encourages all vehicles to collaborate with each other in packet forwarding operations. This, in turn, results in decreasing the payments by nodes to the network side and also results in optimizing Traffic Congestion. The simulation results established the robustness of the proposed mechanism in terms of cost-related criteria.

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APA: Copy

Raeisi Lejjy, Khalilollah, Amiri, Esmaeil, Alizadeh, Emad, & Rezvani, Mohammad Hossein. (2020). A Game Theory-based Mechanism to Optimize the Traffic Congestion in VANETs. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949251/en

Vancouver: Copy

Raeisi Lejjy Khalilollah, Amiri Esmaeil, Alizadeh Emad, Rezvani Mohammad Hossein. A Game Theory-based Mechanism to Optimize the Traffic Congestion in VANETs. 2020. Available from: https://sid.ir/paper/949251/en

IEEE: Copy

Khalilollah Raeisi Lejjy, Esmaeil Amiri, Emad Alizadeh, and Mohammad Hossein Rezvani, “A Game Theory-based Mechanism to Optimize the Traffic Congestion in VANETs,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2020, [Online]. Available: https://sid.ir/paper/949251/en

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