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Blockchain-Enhanced Offloading in Mobile Edge Computing: A Systematic Review and Survey of Current Trends and Future Directions
[article]
2024
arXiv
pre-print
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Mobile Edge Computing (MEC) looks promising for enhancing performance and reducing costs by offloading the computing work of IoT to MEC servers. ...
This paper reviews these Blockchain-based offloading methods for different MEC settings. ...
Subsequently, the joint problem of computation offloading, resource service pricing, and block storage was studied as a three-stage Stackelberg game. ...
arXiv:2403.05961v1
fatcat:o6btohbd65hbldhz74vx46hkym
Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey
[article]
2017
arXiv
pre-print
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Furthermore, we present applications of economic and pricing models for wireless caching and mobile data offloading. ...
This paper presents a comprehensive literature review on applications of economic and pricing theory for resource management in the evolving fifth generation (5G) wireless networks. ...
Stackelberg equilibrium HN [110] Stackelberg Bayesian game
MBS SBSs Power The Bayesian game is used to determine the SBSs' optimal transmit power, and a learning algorithm is adopted to determine the ...
arXiv:1710.04771v1
fatcat:zs3bbrmbzrfjzfjs5cgpwu2kpm
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence
[article]
2022
arXiv
pre-print
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Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond. ...
However, its uncertainty, referred to as dynamic and randomness, from the mobile device, wireless channel, and edge network sides, results in high-dimensional, nonconvex, nonlinear, and NP-hard optimization ...
-, computation-, and caching-aware RL. ...
arXiv:2201.11410v4
fatcat:24igkq4kbrb2pjzwf3mf3n7qtq
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence
2022
IEEE Access
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Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond. ...
INDEX TERMS Mobile edge computing (MEC), network uncertainty, reinforcement learning (RL). ...
-, computation-, and caching-aware RL. ...
doi:10.1109/access.2022.3183647
fatcat:pd5z6q4innd5jl25g4r7b4nq3i
2021 Index IEEE Transactions on Reliability Vol. 70
2021
IEEE Transactions on Reliability
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TR Sept. 2021 875-886 Reliability-Aware Offloading and Allocation in Multilevel Edge Computing System. ...
Surendran, R., +, TR March 2021 248-260 Reliability-Aware Offloading and Allocation in Multilevel Edge Computing System. ...
doi:10.1109/tr.2021.3134026
fatcat:22noq6n6n5cd3fshazpc3w4tku
A Survey on UAV-enabled Edge Computing: Resource Management Perspective
[article]
2023
arXiv
pre-print
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2022 pre-print arXiv:2210.06679v1 fatcat:6a7mo3eufzbm7cmv6hxlofb6qa
The recent advancement in Unmanned Aerial Vehicles (UAVs) technologies has opened new opportunities for edge computing in military operations, disaster response, or remote areas where traditional terrestrial ...
In such environments, UAVs can be deployed as aerial edge servers or relays to facilitate edge computing services. ...
UAV gorithm source constraints on edge server [142] Maximize edge server's profit Edge server → Computing resource Stackelberg game and ✓ Not mentioned obtained from resource trad- UAV blockchain ing ...
arXiv:2210.06679v2
fatcat:7gtlbqqqtnbubi62sgb4lv6d34
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
[article]
2021
arXiv
pre-print
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Then, we review applications of game theory and economic approaches applied for incentive mechanisms design of FL. ...
In this paper, we provide a comprehensive review for the economic and game theoretic approaches proposed in the literature to design various schemes for stimulating data owners to participate in FL training ...
In the context of FL, it is used for the computation resource trading with competitive prediction service provider as proposed in [54] . 2) Stackelberg Game: Stackelberg game [55] is a sequential-move ...
arXiv:2111.11850v1
fatcat:24xqnqiqtbh2hdn6lnkdkctqii
Deep Reinforcement Learning for Cyber Security
[article]
2020
arXiv
pre-print
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We touch on different vital aspects, including DRL-based security methods for cyber-physical systems, autonomous intrusion detection techniques, and multi-agent DRL-based game theory simulations for defense ...
This paper presents a survey of DRL approaches developed for cyber security. ...
The utility of receiver or spoofer is computed based on the Bayesian risk, which is the expected payoff in the spoofing detection. ...
arXiv:1906.05799v3
fatcat:h4lujrwb5bgwngbi4xf6w347b4
2021 Index IEEE Internet of Things Journal Vol. 8
2021
IEEE Internet of Things Journal
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., +, JIoT March A Bayesian Q-Learning Game for Dependable Task Offloading Against An Internet-of-Medical-Things-Enabled Edge Computing Framework for 1, 2021 Internet of Things. ...
., +, JIoT May 1, 2021 7531-7545 A Bayesian Q-Learning Game for Dependable Task Offloading Against DDoS Attacks in Sensor Edge Cloud. ...
doi:10.1109/jiot.2022.3141840
fatcat:42a2qzt4jnbwxihxp6rzosha3y
A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges
[article]
2022
arXiv
pre-print
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computation framework-driven solutions to realize the Metaverse on resource-constrained edge devices. ...
Moreover, given the high computation costs required, e.g., to render 3D virtual worlds and run data-hungry artificial intelligence-driven avatars, we discuss the computation challenges and cloud-edge-end ...
On one hand, users can offload computation-intensive tasks to edge computing services for mitigating straggler effects to improve performance. ...
arXiv:2203.05471v2
fatcat:jhl66faxw5clnopsb5rbsopzoq
2021 Index IEEE Transactions on Vehicular Technology Vol. 70
2021
IEEE Transactions on Vehicular Technology
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TVT June 2021 5275-5285 Energy-Aware Task Offloading and Resource Allocation for Time-Sensitive Services in Mobile Edge Computing Systems. ...
., +, TVT July 2021 7103-7112 Computation Offloading for Edge-Assisted Federated Learning. ...
doi:10.1109/tvt.2022.3151213
fatcat:vzuzqu54irebpibzp3ykgy5nca
Resource Management in Cloud Networking Using Economic Analysis and Pricing Models: A Survey
[article]
2017
arXiv
pre-print
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Besides, we survey a variety of incentive mechanisms using the pricing strategies in sharing resources in edge computing. ...
This paper presents a comprehensive literature review on applications of economic and pricing models for resource management in cloud networking. ...
The Stackelberg game has been also applied in cloud computing. ...
arXiv:1701.01963v1
fatcat:2di22jgefvc2dpkkwpzer4racm
Fast and Fair Computation Offloading Management in a Swarm of Drones Using a Rating-based Federated Learning Approach
2021
IEEE Access
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The method was based on an unsupervised hierarchical RL, Bayesian learning, and DL for a stochastic Stackelberg game with multiple leaders under incomplete information. ...
Offloading modules to close-by neighbors can yield lower latency, energy consumption, and privacy risk. Our objective is to find the best destination for drones to offloading their computations. ...
Maksim is a project coordinator for H2020 RESCUE -Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems Design. ...
doi:10.1109/access.2021.3104117
fatcat:6f72camrerfrla5ahfwqcixjaa
Editorial Special Issue on AI Innovations in Intelligent Transportation Systems
2022
IEEE transactions on intelligent transportation systems (Print)
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The competitive interactions between the VEC servers and vehicles are formulated as a two-stage Stackelberg game. ...
A gamebased scheme is proposed to achieve game equilibrium for the scenario that vehicles share their computation demands. ...
doi:10.1109/tits.2022.3152067
fatcat:w5qyxfyp7zfzjckdkhsmddvzwm
2020 Index IEEE Transactions on Vehicular Technology Vol. 69
2020
IEEE Transactions on Vehicular Technology
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5634-5646 Hong, C.S., see Le, T.H.T., TVT Dec. 2020 15162-15176 Hong, D., Lee, S., Cho, Y.H., Baek, D., Kim, J., and Chang, N Guo, H., Liu, J., and Zhang, Y., Toward Swarm Coordination: Topol-ogy-Aware ...
+ Check author entry for coauthors ami-mFading Channels With Integer and Non-Integerm; TVT March 2020 2785-2801 Hoang, T.M., Tran, X.N., Nguyen, B.C., and Dung, L.T., On the Performance of MIMO Full-Duplex ...
., +, TVT April 2020 4221-4232 Blockchain Meets Edge Computing: Stackelberg Game and Double Auction Based Task Offloading for Mobile Blockchain. ...
doi:10.1109/tvt.2021.3055470
fatcat:536l4pgnufhixneoa3a3dibdma
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