Game Theoretic Approaches in Vehicular Networks: A Survey
Zemin Sun, Yanheng Liu, Jian Wang, Carie Anil, and Dongpu Cao

TL;DR
This survey reviews how game theory models are applied to address QoS and security challenges in vehicular networks, especially with the advent of 5G, highlighting recent advances and future research directions.
Contribution
It provides a comprehensive overview of game theoretic applications in vehicular networks, focusing on QoS, security, and integration with 5G technologies, and outlines key challenges and solutions.
Findings
Game theory effectively models resource competition in VNs.
GT enhances security protocols in vehicular communications.
Integration of GT with 5G technologies improves network performance.
Abstract
In the era of the Internet of Things (IoT), vehicles and other intelligent components in Intelligent Transportation System (ITS) are connected, forming the Vehicular Networks (VNs) that provide efficient and secure traffic, ubiquitous access to information, and various applications. However, as the number of connected nodes keeps increasing, it is challenging to satisfy various and large amounts of service requests with different Quality of Service (QoS ) and security requirements in the highly dynamic VNs. Intelligent nodes in VNs can compete or cooperate for limited network resources so that either an individual or group objectives can be achieved. Game theory, a theoretical framework designed for strategic interactions among rational decision-makers who faced with scarce resources, can be used to model and analyze individual or group behaviors of communication entities in VNs. This…
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Taxonomy
TopicsVehicular Ad Hoc Networks (VANETs) · Transportation and Mobility Innovations · Traffic control and management
