AI-based fog and edge computing: A systematic review, taxonomy and future directions

S Iftikhar, SS Gill, C Song, M Xu, MS Aslanpour… - Internet of Things, 2023 - Elsevier
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges and future perspectives

GK Walia, M Kumar, SS Gill - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …

Blockchain based solutions to secure IoT: Background, integration trends and a way forward

S Saxena, B Bhushan, MA Ahad - Journal of Network and Computer …, 2021 - Elsevier
The lack of intrinsic security technologies in the current Internet of Things (IoT) systems
brings forth numerous security vulnerabilities and privacy risks. To this end, a distributed and …

Dynamic task offloading for mobile edge computing with hybrid energy supply

Y Chen, F Zhao, Y Lu, X Chen - Tsinghua Science and …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC), as a new distributed computing model, satisfies the low
energy consumption and low latency requirements of computation-intensive services. The …

DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing

G Qu, H Wu, R Li, P Jiao - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …

[Retracted] Computation Offloading in Mobile Cloud Computing and Mobile Edge Computing: Survey, Taxonomy, and Open Issues

M Maray, J Shuja - Mobile Information Systems, 2022 - Wiley Online Library
Cloud and mobile edge computing (MEC) provides a wide range of computing services for
mobile applications. In particular, mobile edge computing enables a computing and storage …

Multi-agent DRL for joint completion delay and energy consumption with queuing theory in MEC-based IIoT

G Wu, Z Xu, H Zhang, S Shen, S Yu - Journal of Parallel and Distributed …, 2023 - Elsevier
Abstract In the Industrial Internet of Things (IIoT), there exist numerous sensor devices with
weak computing power and small energy storage. To meet the real-time and big data …

Trust in edge-based internet of things architectures: state of the art and research challenges

L Fotia, F Delicato, G Fortino - ACM Computing Surveys, 2023 - dl.acm.org
The Internet of Things (IoT) aims to enable a scenario where smart objects, inserted into
information networks, supply smart services for human beings. The introduction of edge …

Intrusion detection in internet of things systems: a review on design approaches leveraging multi-access edge computing, machine learning, and datasets

E Gyamfi, A Jurcut - Sensors, 2022 - mdpi.com
The explosive growth of the Internet of Things (IoT) applications has imposed a dramatic
increase of network data and placed a high computation complexity across various …

Security aspects of blockchain technology intended for industrial applications

SM Idrees, M Nowostawski, R Jameel, AK Mourya - Electronics, 2021 - mdpi.com
Blockchain technology plays a significant role in the industrial development. Many industries
can potentially benefit from the innovations blockchain decentralization technology and …