A Game Theory Approach for Platoon‐Based Driving for Multimedia Transmission in VANETs

Abstract

Vehicular Ad Hoc Networks (VANETs) allow users, services, and vehicles to share information and will change our life experience with new autonomous driving applications. Multimedia will be one of the core services in VANETs and are becoming a reality in smart environments, ranging from safety and security traffic warnings to live entertainment and advertisement videos. However, VANETs have a dynamic network topology with short contact time, which leads to communication flaws and delays, increasing packet loss, and decreasing the Quality of Experience (QoE) of transmitted videos. To cope with this, neighbor vehicles moving on the same direction and wishing to cooperate should form a platoon, where platoon members act as a relay node to forward video packets in autonomous VANETs. In this article, we introduce a game theory approach for platoon-based driving (GT4P) for video dissemination services in urban and highway VANET scenarios. GT4P encourages the cooperation between neighbor vehicles by offering reward (e.g., money or coupon) for vehicles participating in the platoon. In this sense, GT4P establishes a platoon by taking into account vehicle direction, speed, distance, link quality, and travel path, which reduces the impact of vehicle mobility on the video transmission. Simulation results confirm the efficiency of GT4P for ensuring video transmissions with high QoE support compared to existing platoon-based driving protocols.

A cooperative heterogeneous vehicular clustering framework for efficiency improvement

“…For cooperativeness in a heterogeneous vehicular network, game theory was used (Srivastava et al, 2005;Roughgarden, 2010;Ficco et al, 2018). An important solution proposed by Lobato et al (2018) was used for content downloading from a remote server for vehicles within the cluster. A solution proposed by Gerla et al (2014) is used in our scenario to achieve the cooperation behavior, which is essential when the cost is included in the clustering process.…”

Video Streaming in Urban Vehicular Environments: Junction-Aware Multipath Approach

“…A cooperating neighbor vehicle solution based on the Game-Theory approach for Platoon-centric (GT4P) driving has been suggested to address the challenges of the short contact time among vehicles during multimedia data transmission, which could lead to delay and video packet error [31]. Thus, the video packet error decreases the Quality of Experience (QoE) of the disseminated video.…”

The Game Simulation of “The Belt and Road” Economic and Trade Network Based on the Asymmetric QRE Model

“…We calculated the degree of the nodes K = [6,9,9,31,27,33,44,2,18,8,46,14,63,33,17,54,26,19,46,50,61,46,42,20,36,27,36,27,10,4,30,19,35,50,2,2,8,17,4,27,41,27,57,28,17,50,57,42,31,54,47,47,30,3,19,10,…”

“…This paper attempts to simulate the cooperative game by introducing the asymmetric QRE model based on the construction of "The Belt and Road" economic and trade network [31,32]. When different variables have different degrees of influence on the entire system [33,34], the simulation process mainly changes the factors such as the belief in the sensitivity to own payoff and counterparts [21], the reward for cooperation by neighbor nodes [35], the trade facilitation index [36], and the reduction rate of tariffs [37]. Based on the outcomes, we then analyze the influence of the various factors on the cooperation of "The Belt and Road" economic and the trade network.…”