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   Articles with "iot edge" as a keyword



Intelligent feature fusion with dynamic graph convolutional recurrent network for robust object detection to assist individuals with disabilities in a smart Iot edge-cloud environment

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-25048-7

Abstract: Smart Internet of Things (IoT)-edge-cloud computing defines intelligent systems where IoT devices create data at the network’s edge, which is then further processed and analyzed in local edge devices before transmission to the cloud for… read more here.

Keywords: iot edge; methodology; edge cloud; edge ... See more keywords

Smart and Secure Wireless Power Transfer for EVs: Exploring IoT, Edge Computing and Blockchain Solutions

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recommendations! Published in 2025 at "IET Electrical Systems in Transportation"

DOI: 10.1049/els2/9926412

Abstract: Wireless power transfer (WPT) has been developed as a transformative alternative to traditional plug‐in charging for electric vehicles (EVs), offering significant developments in mobile charging. EVs are charged while moving on the roads. This review… read more here.

Keywords: wireless power; iot edge; edge computing; transfer ... See more keywords

Decentralized Iot Edge Nanoservice Architecture for Future Gadget-Free Computing

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2936714

Abstract: In the envisioned ubiquitous world, services will follow users as they move across smart surroundings. Services are instantiated to users through the environment, appearing and disappearing as they move, which reduces the need for personal… read more here.

Keywords: edge nanoservice; service; architecture future; nanoservice architecture ... See more keywords

Optimizing Malware Detection for IoT and Edge Environments With Quantization Awareness

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3495635

Abstract: Despite the widespread applicability of malware detection on the Internet of Things (IoT) and edge platforms, efficient malware detection on edge devices is significantly challenging due to hardware limitations. This study proposes a novel edge-friendly… read more here.

Keywords: quantization; iot edge; malware detection; edge ... See more keywords

Federated Learning With Sailfish-Optimized Ensemble Models for Anomaly Detection in IoT Edge Computing Environment

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3554301

Abstract: The Internet of Things (IoT) has transformed cyber-physical systems by enabling seamless connectivity and automation. However, IoT devices face resource constraints, making anomaly detection challenging. Traditional centralized approaches suffer from computational inefficiencies, increased latency, and… read more here.

Keywords: detection; iot edge; anomaly detection; detection iot ... See more keywords

A Design of Workflow-Based Automated Failure Recovery Framework in IoT Edge Environment

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3578739

Abstract: In IoT Edge environments, microservice-based architectures decompose workloads into functional units for efficient deployment and scaling across edge nodes. However, service dependencies and layered infrastructure often cause cascading failures, complicating automated failure recovery processes in… read more here.

Keywords: iot edge; recovery; tex math; inline formula ... See more keywords

AI-Based Hardware Trojan Intrusion Detection System for IoT and Edge Devices

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3626798

Abstract: The proliferation of Internet of Things (IoT) and Edge devices in critical applications has exposed them to sophisticated Hardware Intrinsic Attacks (HIAs), where hidden trojans can be activated to trigger malicious behavior. Existing intrusion detection… read more here.

Keywords: detection; iot edge; hardware; attack ... See more keywords

ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors

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recommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2024.3455803

Abstract: Wearable Internet of Things (IoT) devices are gaining ground for continuous physiological data acquisition and health monitoring. These physiological signals can be used for security applications to achieve continuous authentication and user convenience due to… read more here.

Keywords: edge sensors; iot edge; authentication; self supervised ... See more keywords

An Intelligent Game-Based Offloading Scheme for Maximizing Benefits of IoT-Edge-Cloud Ecosystems

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recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2020.3039828

Abstract: Nowadays, with the explosive growth of sensor-based devices connected to Internet of Things (IoT), massive amount of data are generated every day with potential tremendous value. We argue that the value of those data can… read more here.

Keywords: iot edge; monetize data; data platform; edge cloud ... See more keywords

Federated Learning Protocols for IoT Edge Computing

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recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3143288

Abstract: In this article, we provide a set of federated learning (FL) protocols for future Internet architectures, which integrate the edge computing with the Internet of Things (IoT) known as “IoT edge computing.” The proposed protocols… read more here.

Keywords: learning protocols; iot edge; federated learning; edge computing ... See more keywords

A Reliable and Efficient Task Offloading Strategy Based on Multifeedback Trust Mechanism for IoT Edge Computing

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recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3143572

Abstract: Facing multidemand tasks and massive heterogeneous resources in an IoT edge computing environment, it is a challenge to obtain reliable and quick response service and allocate application tasks to resource nodes that meet task requirements… read more here.

Keywords: iot edge; task; task offloading; trust ... See more keywords