Game Theoretic Approaches in Vehicular Networks: A Survey
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Zemin Sun, Yanheng Liu, Jian Wang, Carie Anil, Dongpu Cao
2020
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 paper primarily surveys
the recent advantages of GT used in solving various challenges in VNs. As VNs
and GT have been extensively investigate34d, this survey starts with a brief
introduction of the basic concept and classification of GT used in VNs. Then, a
comprehensive review of applications of GT in VNs is presented, which primarily
covers the aspects of QoS and security. Moreover, with the development of
fifth-generation (5G) wireless communication, recent contributions of GT to
diverse emerging technologies of 5G integrated into VNs are surveyed in this
paper. Finally, several key research challenges and possible solutions for
applying GT in VNs are outlined.
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