A Task Scheduling Optimization Method for Vehicles Serving as Obstacles in Mobile Edge Computing Based IoV Systems
In recent years, as more and more vehicles request service from roadside units (RSU), the vehicle-to-infrastructure (V2I) communication links are under tremendous pressure. This paper first proposes a dynamic dense traffic flow model under the condition of fading channel. Based on this, the reliabil...
Main Authors: | Mingwei Feng, Haiqing Yao, Jie Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/25/1/139 |
Similar Items
-
A Delay-Optimal Task Scheduling Strategy for Vehicle Edge Computing Based on the Multi-Agent Deep Reinforcement Learning Approach
by: Xuefang Nie, et al.
Published: (2023-03-01) -
Collaborative Task Scheduling for IoT-Assisted Edge Computing
by: Youngjin Kim, et al.
Published: (2020-01-01) -
A Vehicular Edge Computing-Based Architecture and Task Scheduling Scheme for Cooperative Perception in Autonomous Driving
by: Yuankui Wei, et al.
Published: (2022-09-01) -
Power Distribution IoT Tasks Online Scheduling Algorithm Based on Cloud-Edge Dependent Microservice
by: Ruolin Chen, et al.
Published: (2023-04-01) -
Convergence of Information-Centric Networks and Edge Intelligence for IoV: Challenges and Future Directions
by: Salahadin Seid Musa, et al.
Published: (2022-06-01)