Resource Management Framework Based on the Stackelberg Game in Vehicular Edge Computing
With the emergence and development of the Internet of Vehicles (IoV), quick response time and ultralow delay are required. Cloud computing services are unfavorable for reducing delay and response time. Mobile edge computing (MEC) is a promising solution to address this problem. In this paper, we com...
Saved in:
Main Authors: | Guang-Shun Li, Ying Zhang, Mao-Li Wang, Jun-Hua Wu, Qing-Yan Lin, Xiao-Fei Sheng |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/8936064 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Joint Task Offloading and Resource Allocation in Mobile Edge Computing-Enabled Medical Vehicular Networks
by: Chuangchuang Zhang, et al.
Published: (2024-12-01) -
Characterizing Perception Deep Learning Algorithms and Applications for Vehicular Edge Computing
by: Wang Feng, et al.
Published: (2025-01-01) -
Stackelberg Game for Product Renewal in Supply Chain
by: Yong Luo, et al.
Published: (2013-01-01) -
Stackelberg games-based distributed algorithm of pricing and resource allocation in heterogeneous wireless networks
by: Yong JIANG, et al.
Published: (2013-01-01) -
Stackelberg Game Model of Railway Freight Pricing Based on Option Theory
by: Jingwei Guo, et al.
Published: (2020-01-01)