scholarly journals A Game Theory Approach for Platoon-Based Driving for Multimedia Transmission in VANETs

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Wellington Lobato Junior ◽  
Denis Rosário ◽  
Eduardo Cerqueira ◽  
Leandro A. Villas ◽  
Mario Gerla
Keyword(s):  
Game Theory ◽  
Vehicular Ad Hoc Networks ◽  
Life Experience ◽  
Dynamic Network ◽  
Relay Node ◽  
Autonomous Driving ◽  
Link Quality ◽  
Theory Approach ◽  
Short Contact Time ◽  
The Impact

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.

scholarly journals Dynamic Network Service Selection in IRS-assisted Wireless Networks: A Game Theory Approach

2021 ◽  
pp. 1-1
Author(s):  
Nguyen Cong Luong ◽  
Thi Thanh Van Nguyen ◽  
Shaohan Feng ◽  
Huy T. Nguyen ◽  
Tao Dusit Niyato ◽  
...  
Keyword(s):  
Game Theory ◽  
Wireless Networks ◽  
Dynamic Network ◽  
Service Selection ◽  
Theory Approach ◽  
Network Service

scholarly journals Q-LBR: Q-Learning Based Load Balancing Routing for UAV-Assisted VANET

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5685
Author(s):  
Bong-Soo Roh ◽  
Myoung-Hun Han ◽  
Jae-Hyun Ham ◽  
Ki-Il Kim
Keyword(s):  
Load Balancing ◽  
Traffic Congestion ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Control Function ◽  
Dynamic Network ◽  
Relay Node ◽  
Delivery Ratio ◽  
Q Learning ◽  
Hoc Networks

Although various unmanned aerial vehicle (UAV)-assisted routing protocols have been proposed for vehicular ad hoc networks, few studies have investigated load balancing algorithms to accommodate future traffic growth and deal with complex dynamic network environments simultaneously. In particular, owing to the extended coverage and clear line-of-sight relay link on a UAV relay node (URN), the possibility of a bottleneck link is high. To prevent problems caused by traffic congestion, we propose Q-learning based load balancing routing (Q-LBR) through a combination of three key techniques, namely, a low-overhead technique for estimating the network load through the queue status obtained from each ground vehicular node by the URN, a load balancing scheme based on Q-learning and a reward control function for rapid convergence of Q-learning. Through diverse simulations, we demonstrate that Q-LBR improves the packet delivery ratio, network utilization and latency by more than 8, 28 and 30%, respectively, compared to the existing protocol.

scholarly journals Exploring Tourism Recovery in the Post-COVID-19 Period: An Evolutionary Game Theory Approach

2021 ◽  
Vol 13 (16) ◽  
pp. 9162
Author(s):  
Hui Yan ◽  
Haixiang Wei ◽  
Min Wei
Keyword(s):  
Game Theory ◽  
Evolutionary Game Theory ◽  
Evolutionary Game ◽  
Theory Approach ◽  
Strategic Choices ◽  
Health Events ◽  
Game Equilibrium ◽  
Tourism Enterprises ◽  
The Impact

This study aims to explore the process of tourism recovery in the post-COVID-19 period and the role of stakeholders in promoting such a process. Using evolutionary game theory, this study analyzes the behavior interactions and game equilibrium of stakeholders in the development of tourism by constructing an evolutionary game model amongst governments, tourists and tourism enterprises. Then, the influences of different evolution paths and major parameters affecting stakeholders’ strategy selection are discussed. With the aim of illustrating the role of the stakeholders in the tourism sector’s economic recovery under the impact of the coronavirus pandemic, the numerical experiment was conducted using the MATLAB 2016 software. The results show that the development and change of the emergent public health events affect tourism stakeholders’ behavior strategy. Moreover, the strategic choices of each player, including governments, tourism enterprises and tourists, are also constantly evolving at different stages of the pandemic.

Coworker feedback seeking and feedback environment in China: An expectation states theory approach

2019 ◽  
Vol 47 (9) ◽  
pp. 1-10 ◽  
Author(s):  
Zhenxing Gong ◽  
Mengshuang Liu ◽  
Di Xin ◽  
Faheem Gul Gilal ◽  
Kui Yin ◽  
...  
Keyword(s):  
Design And Technology ◽  
Theory Approach ◽  
Feedback Seeking ◽  
Feedback Environment ◽  
Expectation States ◽  
Industrial Enterprises ◽  
Seeking Behavior ◽  
Expectation States Theory ◽  
The Impact ◽  
The Relationship

We empirically explored the impact of feedback seeking, including feedback inquiry and monitoring, on the coworker feedback environment via coworker identification. Participants were 264 employees who worked in research and development, design, and technology sectors of industrial enterprises in China. The results indicated that feedback monitoring, feedback inquiry, and coworker identification were all positively related to the coworker feedback environment after controlling for the effects of demographic variables. Further, coworker identification fully mediated the relationship between feedback inquiry/monitoring and the coworker feedback environment. Our findings expand understanding of the feedback loop by bridging the gap between coworker feedback seeking and the coworker feedback environment. We recommend that coworkers encourage employees' feedback-seeking behavior so that the workplace feedback environment motivates them to ask for the help they need to work independently.

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