A Stackelberg game approach to multiple resources allocation and pricing in mobile edge computing

2020 ◽  
Vol 108 ◽  
pp. 273-287 ◽  
Author(s):  
Yifan Chen ◽  
Zhiyong Li ◽  
Bo Yang ◽  
Ke Nai ◽  
Keqin Li
Keyword(s):  
Stackelberg Game ◽  
Edge Computing ◽  
Resources Allocation ◽  
Mobile Edge Computing ◽  
Multiple Resources

Stackelberg Game based Pricing and Offloading in Mobile Edge Computing

2021 ◽  
pp. 1-1
Author(s):  
Ming Tao ◽  
Kaoru Ota ◽  
Mianxiong Dong ◽  
Huaqiang Yuan
Keyword(s):  
Stackelberg Game ◽  
Edge Computing ◽  
Mobile Edge Computing

scholarly journals Mobile edge computing resource allocation: A joint Stackelberg game and matching strategy

2019 ◽  
Vol 15 (7) ◽  
pp. 155014771986155 ◽  
Author(s):  
Shaoyong Guo ◽  
Xing Hu ◽  
Gangsong Dong ◽  
Wencui Li ◽  
Xuesong Qiu
Keyword(s):  
Resource Allocation ◽  
Internet Of Things ◽  
Smart Home ◽  
Stackelberg Game ◽  
Edge Computing ◽  
Hierarchical Architecture ◽  
Smart Devices ◽  
Low Latency ◽  
Mobile Edge Computing ◽  
Computing Resource

Mobile edge computing has attracted great interests in the popularity of fifth-generation (5G) networks and Internet of Things. It aims to supply low-latency and high-interaction services for delay-sensitive applications. Utilizing mobile edge computing with Smart Home, which is one of the most important fields of Internet of Things, is a method to satisfy users’ demand for higher computing power and storage capacity. However, due to limited computing resource, how to improve efficiency of resource allocation is a challenge. In this article, we propose a hierarchical architecture in Smart Home with mobile edge computing, providing low-latency services and promoting edge process for smart devices. Based on that, a Stackelberg Game is designed in order to allocate computing resource to devices efficiently. Then, one-to-many matching is established to handle resource allocation problems. It is proved that the allocation strategy can optimize the utility of mobile edge computing server and improve allocating efficiency. Simulation results show the effectiveness of the proposed strategy compared with schemes based on auction game, and present performance with different changing system parameters.

scholarly journals Joint Optimization of Offloading and Resources Allocation in Secure Mobile Edge Computing Systems

2020 ◽  
Vol 69 (8) ◽  
pp. 8843-8854 ◽  
Author(s):  
Jun-Bo Wang ◽  
Hui Yang ◽  
Ming Cheng ◽  
Jin-Yuan Wang ◽  
Min Lin ◽  
...  
Keyword(s):  
Edge Computing ◽  
Joint Optimization ◽  
Resources Allocation ◽  
Mobile Edge Computing ◽  
Computing Systems
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