Article
Computer Science, Hardware & Architecture
Zhao Tong, Xin Deng, Jing Mei, Longbao Dai, Kenli Li, Keqin Li
Summary: The task offloading technology in mobile edge computing can improve the benefits of each device. Designing reasonable prices for computing resources is critical to balancing the interests of end servers and devices. The Stackelberg game is introduced to describe the relationship between the MEC server and end users (EUs), and differentiated pricing algorithms are proposed to effectively improve profit of the server and reduce latency of EUs.
JOURNAL OF SYSTEMS ARCHITECTURE
(2023)
Article
Engineering, Electrical & Electronic
Bizheng Liang, Rongfei Fan, Han Hu, Yu Zhang, Ning Zhang, Alagan Anpalagan
Summary: The article introduces the application research of nonlinear pricing strategy in mobile edge computing, discussing the pricing mechanism and optimal solution of computing task offloading strategy between edge servers and mobile devices through Stackelberg game.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Zongyun Liu, Jingqi Fu, Yue Zhang
Summary: This paper proposes an OSPC algorithm based on Stackelberg game, aiming to optimize transmission power and edge cloud pricing in mobile edge computing systems. The algorithm ensures the maximization of edge cloud utility and user utility, with good convergence and scalability.
Article
Computer Science, Information Systems
Guowen Wu, Hui Wang, Hong Zhang, Yuhan Zhao, Shui Yu, Shigen Shen
Summary: In the scenario of Industry 4.0, mobile smart devices face challenges in processing massive amounts of data. To address this issue, a software-defined network-based mobile edge computing system is proposed to offload computation tasks to edge servers, reducing processing latency and energy consumption. A stochastic game-based computation offloading model is established, demonstrating the achievement of Nash Equilibrium. The proposed stochastic game-based resource allocation algorithm with prioritized experience replays (SGRA-PERs) outperforms other algorithms in reducing processing delay and energy consumption, even in large-scale MEC systems.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Yuwei Li, Bo Yang, Hao Wu, Qiaoni Han, Cailian Chen, Xinping Guan
Summary: This article introduces a vehicular fog-edge computing paradigm and tackles the challenges of offloading computing tasks to vehicles through a multistage Stackelberg game. By using incentive mechanisms and pricing strategies, resource coordination and utility maximization for all parties are achieved.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Hardware & Architecture
Zongyun Liu, Jingqi Fu
Summary: The proposed method integrates Stackelberg game pricing and edge cloud offloading decision, simplifies the offloading decision problem of users through mathematical models, proving the existence of Nash equilibrium. The dynamic programming-based edge cloud pricing algorithm achieves a balance between edge cloud utility and user utility.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Telecommunications
Ruyan Wang, Chunyan Zang, Peng He, Yaping Cui, Dapeng Wu
Summary: This paper proposes an auction-based computation offloading algorithm to inspire ENs to provide high-quality service by maximizing their profit, addressing the unreasonable profit allocation problem between MDs and ENs caused by excessive concern on MD profit.
DIGITAL COMMUNICATIONS AND NETWORKS
(2023)
Article
Computer Science, Information Systems
Ming Tao, Kaoru Ota, Mianxiong Dong, Huaqiang Yuan
Summary: This letter investigates resource pricing and task offloading strategies in a scenario of multiple users and a single MEC server. A stackelberg game model is established and the best strategies are found using differential evolution algorithm. Simulation results show win-win situation.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Computer Science, Information Systems
Liwei Geng, Hongbo Zhao, Jiayue Wang, Aryan Kaushik, Shuai Yuan, Wenquan Feng
Summary: This article proposes a computation offloading policy based on deep reinforcement learning in a vehicle-assisted vehicular edge computing network. The goal is to provide excellent Quality-of-Service by utilizing the idle resources of vehicles. The article presents a task scheduling algorithm and formulates the computation offloading problem to minimize system cost.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Chemistry, Analytical
Xinwang Yuan, Zhidong Xie, Xin Tan
Summary: This paper studies an efficient computing resource offloading mechanism for UAV-enabled edge computing. It comprehensively considers the interests of different roles and factors to improve overall system performance through a Stackelberg game model.
Article
Computer Science, Hardware & Architecture
Razie Roostaei, Zahra Dabiri, Zeinab Movahedi
Summary: Mobile Edge Computing offers cloud computation capabilities at the edge of the mobile network, but efficiency is influenced by purchasing power and resource competition. A game-based distributed scheme is proposed to address challenges in resource allocation and pricing for computation offloading, considering incentives and conflicts between edge providers and Mobile Users (MUs).
Article
Telecommunications
Wanneng Shu, Yan Li
Summary: This paper presents a joint offloading strategy based on quantum particle swarm optimization for mobile edge computing (MEC) enabled vehicular networks to reduce task execution delay cost and energy consumption. Simulation results show that the proposed strategy effectively reduces system overhead and task completion delay.
DIGITAL COMMUNICATIONS AND NETWORKS
(2023)
Article
Chemistry, Analytical
Ling Kang, Yi Wang, Yanjun Hu, Fang Jiang, Na Bai, Yu Deng
Summary: In this paper, a joint user-association, task-partition, and resource-allocation (JUTAR) algorithm is proposed to solve the computation offloading problem in mobile edge computing (MEC) networks. The JUTAR algorithm achieves better system performance by optimizing user association, task partition, and resource allocation.
Article
Computer Science, Information Systems
Zhongling Zhao, Jia Shi, Zan Li, Jiangbo Si, Pei Xiao, Rahim Tafazolli
Summary: This article investigates resource management for the offload transmission of the mmWave MEC system, considering both communication-oriented and computing-oriented users. A three-stage iterative resource allocation algorithm is proposed, and simulation results show its superior performance.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Civil
Mithun Mukherjee, Vikas Kumar, Qi Zhang, Constandinos X. Mavromoustakis, Rakesh Matam
Summary: In this paper, the task data offloading issue in edge-cloud computing systems is studied. By analyzing hard-deadline and soft-deadline tasks, as well as the average delay and service price of edge and cloud servers, an optimal task offloading policy is proposed to maximize the revenue of both edge and cloud servers. The equilibrium is reached through independent consideration of each task for suitable location offloading.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Mengyu Liu, Yuan Liu
IEEE TRANSACTIONS ON COMMUNICATIONS
(2018)
Article
Computer Science, Information Systems
Yuwen Huang, Mengyu Liu, Yuan Liu
IEEE INTERNET OF THINGS JOURNAL
(2018)