Game theory for multi-access edge computing: Survey, use cases, and future trends

J Moura, D Hutchison - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Game theory (GT) has been used with significant success to formulate, and either design or
optimize, the operation of many representative communications and networking scenarios …

A survey on modeling and optimizing multi-objective systems

JH Cho, Y Wang, R Chen, KS Chan… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Many systems or applications have been developed for distributed environments with the
goal of attaining multiple objectives in the face of environmental challenges such as high …

Capacity of cooperative vehicular networks with infrastructure support: Multiuser case

J Chen, G Mao, C Li, W Liang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Capacity of vehicular networks with infrastructure support is both an interesting and
challenging problem as the capacity is determined by the interplay of multiple factors …

A survey on QoS routing protocols in Vehicular Ad Hoc Network (VANET)

F Belamri, S Boulfekhar, D Aissani - Telecommunication Systems, 2021 - Springer
Abstract Vehicular Ad Hoc Network (VANET) is an emerging new technology and a
promising approach for Intelligent Transportation Systems (ITS) domain. Many researchers …

Computational intelligence inspired data delivery for vehicle-to-roadside communications

C Wu, T Yoshinaga, Y Ji… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
We propose a vehicle-to-roadside communication protocol based on distributed clustering
where a coalitional game approach is used to stimulate the vehicles to join a cluster, and a …

End-to-end backlog and delay bound analysis for multi-hop vehicular ad hoc networks

Y Hu, H Li, Z Chang, Z Han - IEEE Transactions on Wireless …, 2017 - ieeexplore.ieee.org
Vehicular ad hoc network (VANET) is able to facilitate data exchange among vehicles and
provides diverse data services. Intuitively, end-to-end backlog and delay bounds are …

Coalition based utility and efficiency optimization for multi-task federated learning in Internet of Vehicles

Z Li, H Wu, Y Lu - Future Generation Computer Systems, 2023 - Elsevier
With the emergence of the sixth generation (6G) communication technologies, massive
infrastructures will be densely deployed and the number of data will be generated …

Context awareness group buying in D2D networks: A coalition formation game-theoretic approach

Y Zhang, Y Xu, Q Wu, Y Luo, Y Xu… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
In this paper, we proposed a context-aware group buying mechanism to reduce users' data
cost based on the content similarity. Each user's cost is formulated as the combination of the …

P-VERSE: prioritization of vehicles to enhance road safety in IoT environment

S Misra, C Roy, R Ghosh - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In this article, we propose a scheme, named P-VERSE, to prioritize the emergency vehicles
(ERVs) in the absence of a traffic signal at a multiway intersection point on a road. We …

Role of gifts in decision making: An endowment effect incentive mechanism for offloading in the IoV

J Liu, W Wang, D Li, S Wan… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is composed of road side units (RSUs) nodes and vehicle
nodes. Because the limited bandwidth of RSUs can not satisfy massive requests from …