Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things

Dai, Xingxia; Xiao, Zhu; Jiang, Hongbo; Alazab, Mamoun; Lui, John C. S.; Dustar, Schaharam; Liu, Jiangchuan

doi:10.1109/tii.2022.3158974

Cited by 189 publications

(45 citation statements)

References 34 publications

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“…The parameters in the actor network are updated using gradient descent according to the loss function based on Eq. (18).…”

Section: The Training and Execution Of Maddpgmentioning

confidence: 99%

“…Aiming at small computing latency while avoiding network congestion, Dai et al [18] recently proposed a cooperative offloading framework in device-to-device (D2D)-assisted MEC networks, where both ESs and idle MDs enable offloading services for computing-intensive industrial tasks. Here, each user delivers offloading service for at most one neighbor MD to avoid queueing latency as the communication coverage by D2D links is small.…”

Section: Introductionmentioning

confidence: 99%

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Task Offloading in Multi-Hop Relay-Aided Multi-Access Edge Computing

Deng

Chen

Fang

2023

IEEE Trans. Veh. Technol.

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Multi-access edge computing (MEC) is a promising technology to enhance the quality of service, particularly for low-latency services, by enabling computing offloading to edge servers (ESs) in close proximity. To avoid network congestion, collaborative edge computing has become an emerging paradigm to enable different ESs to collaboratively share their data and computation resources. However, most papers in collaborative edge computing only allow one-hop offloading, which may limit computing resource sharing due to either poor channel conditions or computing workload at ESs one-hop away. By allowing ESs multi-hop away to also share the computing workload, a multihop MEC enables more ESs to share their computing resources. Inspired by this observation, in this paper, we propose to leverage omnipresent vehicles in a city to form a data transportation network for task delivery in a multi-hop fashion. Here, we propose a general multi-hop task offloading framework for vehicle-assisted MEC where tasks from users can be offloaded to powerful ESs via potentially multi-hop transmissions. Under the proposed framework, we develop a reinforcement learning based task offloading approach to address the curse of dimensionality problem due to vehicular mobility and channel variability, with the goal to maximize the aggregated service throughput under constraints on end-to-end latency, spectrum, and computing resources. Numerical results demonstrate that the proposed algorithm achieves excellent performance with low complexity and outperforms existing benchmark schemes.

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“…The parameters in the actor network are updated using gradient descent according to the loss function based on Eq. (18).…”

Section: The Training and Execution Of Maddpgmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Task Offloading in Multi-Hop Relay-Aided Multi-Access Edge Computing

Deng

Chen

Fang

2023

IEEE Trans. Veh. Technol.

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“…In Reference [23], the authors proposed a joint optimization framework for Mobile Edge Computing (MEC) 24 that utilizes blockchain technology. Existing works on blockchain and MEC are often designed separately, resulting in suboptimal performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review

Khani,

Jamali,

Sohrabi

et al. 2023

Trans Emerging Tel Tech

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This paper reviews recent research on resource allocation in 5G cloud‐based radio access networks (C‐RAN) using deep reinforcement learning (DRL) algorithms. It explores the potential of DRL for learning complex decision‐making policies without human intervention. The paper first introduces the C‐RAN architecture and resource allocation concepts, followed by an overview of DRL algorithms applied to C‐RAN. It discusses the challenges and potential solutions in applying DRL to C‐RAN resource allocation, including scalability, convergence, and fairness. The review concludes by highlighting open research directions for future investigation. By providing insights into the state‐of‐the‐art techniques for resource allocation in 5G C‐RAN using DRL, this paper emphasizes their potential impact on advancing 5G network technology.

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“…A novel method of providing information communications technology to businesses is called cloud computing [ 1 ]. It is based on the premise that businesses do not need to invest in hardware, software, or network infrastructure to run mission-critical applications.…”

Section: Introductionmentioning

confidence: 99%

Criminal law regulation of cyber fraud crimes—from the perspective of citizens’ personal information protection in the era of edge computing

Dong

2023

J Cloud Comp

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Currently, cloud computing provides users all over the globe with Information and Communication Technology facilities that are utility-oriented. This technology is trying to drive the development of data center design by designing and building them as networks of cloud machines, enabling users to access and run the application from any part of the globe. Cloud computing provides considerable benefits to organizations by providing rapid and adaptable ICT software and hardware systems, allowing them to concentrate on creating innovative business values for the facilities they provide. The right to privacy of big data has acquired new definitions with the continued advancement of cloud computing, and the techniques available to protect citizens’ personal information under administrative law have managed to grow in a multitude. Because of the foregoing, internet fraud is a new type of crime that has emerged over time and is based on network technology. This paper analyzed and studied China’s internet fraud governance capabilities, and made a comprehensive evaluation of them using cloud computing technology and the Analytic Hierarchy Process (AHP). This paper discussed personal information security and the improvement of criminal responsibility from the perspective of citizens’ information security and designed and analyzed cases. In addition, this paper also analyzed and studied the ability of network fraud governance in the era of cloud computing. It also carried out a comprehensive evaluation and used the fuzzy comprehensive evaluation method to carry out the evaluation. A questionnaire survey was used to survey 100 residents in district X of city Z and district Y of the suburban area. Among the 100 people, almost all of them received scam calls or text messages, accounting for 99%, of which 8 were scammed. Among the people, more than 59.00% of the people expressed dissatisfaction with the government’s Internet fraud satisfaction survey. Therefore, in the process of combating Internet fraud, the government still needs to step up its efforts.

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Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things

Cited by 189 publications

References 34 publications

Task Offloading in Multi-Hop Relay-Aided Multi-Access Edge Computing

Task Offloading in Multi-Hop Relay-Aided Multi-Access Edge Computing

Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review

Criminal law regulation of cyber fraud crimes—from the perspective of citizens’ personal information protection in the era of edge computing

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