Secure hierarchical fog computing-based architecture for industry 5.0 using an attribute-based encryption scheme
S Rani, G Srivastava - Expert Systems with Applications, 2024 - Elsevier
Industry 5.0 is an emerging phase in the industrial field where humans and the latest
technologies work together to bring revolutionary changes to work processes. It is the future …
technologies work together to bring revolutionary changes to work processes. It is the future …
Exploring the potential of distributed computing continuum systems
Computing paradigms have evolved significantly in recent decades, moving from large room-
sized resources (processors and memory) to incredibly small computing nodes. Recently …
sized resources (processors and memory) to incredibly small computing nodes. Recently …
Advanced pattern-mining system for fake news analysis
Decomposition MapReduce mining for fake news analysis (DMRM-FNA), a novel generic
parallel pattern-mining framework, is developed in this article to solve difficulties in social …
parallel pattern-mining framework, is developed in this article to solve difficulties in social …
[HTML][HTML] Integrated publish/subscribe and push-pull method for cloud based IoT framework for real time data processing
NS Lohitha, M Pounambal - Measurement: Sensors, 2023 - Elsevier
Cloud-based IoT is a platform that connects smart devices to the cloud for real-time data
analysis. Any device on the IoT platform can connect to the cloud through messaging. The …
analysis. Any device on the IoT platform can connect to the cloud through messaging. The …
Towards intelligent data protocols for the edge
The computing continuum is growing because multiple devices are added daily. Edge
devices play a key role in this because computation is decentralized or distributed. Edge …
devices play a key role in this because computation is decentralized or distributed. Edge …
Piot: A performance iot simulation system for a large-scale city-wide assessment
Given the proliferation of sensors and actuators, evaluating the network performance of
current and forthcoming city-wide Internet of Things (IoT) applications is a challenging task …
current and forthcoming city-wide Internet of Things (IoT) applications is a challenging task …
Medley deep reinforcement learning-based workload offloading and cache placement decision in UAV-enabled MEC networks
H Ke, H Wang, H Sun - Complex & Intelligent Systems, 2024 - Springer
Internet of Things devices generate a large number of heterogeneous workloads in real-time
that require specific application to tackle, and the inability to communicate between devices …
that require specific application to tackle, and the inability to communicate between devices …
Nanorobot-based intelligent symptoms analysis and recommendation framework in edge networks
Nanorobots are microscopic robots that operate at the molecular and cellular level and can
potentially revolutionize fields such as medicine, manufacturing, and environmental …
potentially revolutionize fields such as medicine, manufacturing, and environmental …
An optimized environment-adaptive computation offloading strategy for real-time cross-camera task in edge computing networks
With the large-scale establishment of cross-camera networks, edge computing plays an
important role in real-time tasks with its abundant edge resources and flexible task …
important role in real-time tasks with its abundant edge resources and flexible task …
FedSarah: A Novel Low-Latency Federated Learning Algorithm for Consumer-Centric Personalised Recommendation Systems
Z Qu, J Ding, RH Jhaveri, Y Djenouri… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Data heterogeneity, insufficient scalability, and data privacy protection are the technological
challenges of personalized recommendations. This study proposes a new federated …
challenges of personalized recommendations. This study proposes a new federated …