Deep Learning Based Anomaly Detection for Fog-Assisted IoVs Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3246660
Abstract: Internet of vehicles (IoVs) allows millions of vehicles to be connected and share information for various purposes. The main applications of IoVs are traffic management, emergency messages delivery, E-health, traffic, and temperature monitoring. On the… read more here.
Keywords: assisted iovs; fog assisted; iovs network; detection ... See more keywords
A Secure Integrated Framework for Fog-Assisted Internet-of-Things Systems
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DOI: 10.1109/jiot.2020.3035474
Abstract: Fog-assisted Internet-of-Things (Fog-IoT) systems are deployed in remote and unprotected environments, making them vulnerable to security, privacy, and trust challenges. Existing studies propose security schemes and trust models for these systems. However, mitigation of insider… read more here.
Keywords: trust; fog assisted; internet things; integrated framework ... See more keywords
Revocable and Privacy-Preserving Decentralized Data Sharing Framework for Fog-Assisted Internet of Things
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3122949
Abstract: Fog-assisted Internet of Things (IoT) can outsource the massive data of resource-constraint IoT devices to cloud and fog nodes (FNs). Meanwhile, it enables convenient and low time-delay data-sharing services, which relies heavily on high security… read more here.
Keywords: data sharing; assisted internet; fog assisted; privacy preserving ... See more keywords
Joint Energy and Workload Scheduling for Fog-Assisted Multimicrogrid Systems: A Deep Reinforcement Learning Approach
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DOI: 10.1109/jsyst.2022.3171534
Abstract: Due to the fluctuation of renewable energy, the uncertainty of electrical loads, and the complexity of networked microgrids, it is challenging to dispatch multiple resources to minimize the operating cost of multi-microgrid system (MMGS). In… read more here.
Keywords: reinforcement learning; fog assisted; deep reinforcement; energy ... See more keywords
An Integration of Online Learning and Online Control for Green Offloading in Fog-Assisted IoT Systems
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DOI: 10.1109/tgcn.2021.3083426
Abstract: In fog-assisted IoT systems, it is a common practice to offload tasks from IoT devices to their nearby fog nodes to reduce task processing latencies and energy consumptions. However, the design of online energy-efficient scheme… read more here.
Keywords: iot systems; fog assisted; learning online; integration online ... See more keywords
Secure Heterogeneous Data Deduplication via Fog-Assisted Mobile Crowdsensing in 5G-Enabled IIoT
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DOI: 10.1109/tii.2021.3099210
Abstract: Mobile crowdsensing provides the data collection and sharing for the 5G-enabled industrial Internet of Things. However, the redundant and duplicated heterogeneous sensing data bring unnecessary heavy storage and communication overhead. In this article, we propose… read more here.
Keywords: data deduplication; via fog; heterogeneous data; fog assisted ... See more keywords
Coordinated Scheduling and Decentralized Federated Learning Using Conflict Clustering Graphs in Fog-Assisted IoD Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3217963
Abstract: Despite the advantages of fog-assisted internet of drones (IoD) networks for federated learning (FL) model aggregations, it is restricted by the limited battery capacity of drones and wireless channel conditions between a fog and drones.… read more here.
Keywords: problem; conflict; iod networks; coordinated scheduling ... See more keywords
A Novel Framework for Fog-Assisted Smart Healthcare System with Workload Optimization
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4174805
Abstract: Fog-assisted and IoT-enabled smart healthcare system with rapid response rates is the major area of concern now a days. Dynamic and heterogeneous fog networks are difficult to manage and a considerable amount of overhead could… read more here.
Keywords: system; fog assisted; smart healthcare; optimization ... See more keywords