A review on trust management in fog/edge computing: Techniques, trends, and challenges

M Nikravan, MH Kashani - Journal of Network and Computer Applications, 2022 - Elsevier
Cloud computing provides software, infrastructure, and platform as services and reduces the
cost of usage for cloud customers. Recently, a system architecture called Fog and Edge …

Toward global IoT-enabled smart cities interworking using adaptive semantic adapter

J An, F Le Gall, J Kim, J Yun, J Hwang… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
Since the Internet-of-Things (IoT) has been introduced, it is considered as one of the
emerging technologies providing great opportunities to many vertical industries. One of the …

Accessibility analysis and modeling for IoV in an urban scene

J Cheng, G Yuan, M Zhou, S Gao, C Liu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Compared with traditional Internet of Vehicles (IoV) in highways or suburban areas,
maintaining network connectivity and stability is an important challenge for IoV in an urban …

A provably secure and practical PUF-based end-to-end mutual authentication and key exchange protocol for IoT

S Li, T Zhang, B Yu, K He - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Device authentication and key exchange are essential issues for Internet of Things (IoT)
which plays an indispensable role in modern life. Many sensor devices in IoT, with limited …

[HTML][HTML] Recent advances in collaborative scheduling of computing tasks in an edge computing paradigm

S Chen, Q Li, M Zhou, A Abusorrah - Sensors, 2021 - mdpi.com
In edge computing, edge devices can offload their overloaded computing tasks to an edge
server. This can give full play to an edge server's advantages in computing and storage, and …

Edge computing and its convergence with blockchain in 5G and beyond: Security, challenges, and opportunities

SA Bhat, IB Sofi, CY Chi - IEEE Access, 2020 - ieeexplore.ieee.org
The internet is progressing towards a new technology archetype grounded on smart
systems, heavily relying on artificial intelligence (AI), machine learning (ML), blockchain …

Intelligent fault diagnosis for large-scale rotating machines using binarized deep neural networks and random forests

H Li, G Hu, J Li, M Zhou - IEEE Transactions on Automation …, 2021 - ieeexplore.ieee.org
Recently, deep neural network (DNN) models work incredibly well, and edge computing has
achieved great success in real-world scenarios, such as fault diagnosis for large-scale …

Fog data analytics: A taxonomy and process model

A Kumari, S Tanwar, S Tyagi, N Kumar… - Journal of Network and …, 2019 - Elsevier
Through the exponential growth of sensors and smart gadgets (collectively referred to as
smart devices or Internet of Things (IoT) devices), significant amount of heterogeneous and …

Making accurate object detection at the edge: Review and new approach

Z Huang, S Yang, MC Zhou, Z Gong… - Artificial Intelligence …, 2022 - Springer
With the development of Internet of Things (IoT), data are increasingly appearing at the edge
of a network. Processing tasks at the network edge can effectively solve the problems of …

Computing paradigms in emerging vehicular environments: A review

L Silva, N Magaia, B Sousa… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
Determining how to structure vehicular network environments can be done in various ways.
Here, we highlight vehicle networks' evolution from vehicular ad-hoc networks (VANET) to …