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   Articles with "wireless iot" as a keyword



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Efficient Federated Learning Algorithm for Resource Allocation in Wireless IoT Networks

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recommendations! Published in 2021 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2020.3022534

Abstract: Federated learning (FL) allows multiple edge computing nodes to jointly build a shared learning model without having to transfer their raw data to a centralized server, thus reducing communication overhead. However, FL still faces a… read more here.

Keywords: wireless iot; federated learning; convergence; proposed algorithm ... See more keywords
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A GNN based Supervised Learning Framework for Resource Allocation in Wireless IoT Networks

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recommendations! Published in 2021 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2021.3091551

Abstract: The Internet of Things (IoT) allows physical devices to be connected over the wireless networks. Although device-to-device (D2D) communication has emerged as a promising technology for IoT, the conventional solutions for D2D resource allocation are… read more here.

Keywords: wireless iot; iot; resource allocation; framework ... See more keywords

Decentralized Adaptive Spectrum Learning in Wireless IoT Networks Based on Channel Quality Information

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

DOI: 10.1109/jiot.2022.3167016

Abstract: In the Internet of Things (IoT) context such as low power wide area network (LPWAN), it is essential to reduce the packet losses, e.g., to save energy. Decentralized artificial intelligence (AI) techniques have been proposed… read more here.

Keywords: wireless iot; learning wireless; decentralized adaptive; spectrum learning ... See more keywords

Distributed Hybrid NOMA/OMA User Allocation for Wireless IoT Networks

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recommendations! Published in 2024 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2023.3306877

Abstract: This work develops a distributed approach to user allocation in hybrid Internet of Things (IoT) networks, where nonorthogonal multiple access (NOMA) and orthogonal multiple access (OMA) techniques coexist for wireless user access. This hybrid approach… read more here.

Keywords: iot networks; wireless iot; user allocation; oma ... See more keywords

Scalable Graph-Aware Edge Representation Learning for Wireless IoT Intrusion Detection

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recommendations! Published in 2024 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2024.3397364

Abstract: Network intrusion detection systems (NIDSs) have emerged as a frontline defense against the potential attacks in the wireless Internet of Things (IoT) networks. However, existing machine learning methods follow an unstructured data processing patterns and… read more here.

Keywords: edge; intrusion detection; network; wireless iot ... See more keywords

Prioritized Clock Synchronization for Event Critical Applications in Wireless IoT Networks

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recommendations! Published in 2019 at "IEEE Sensors Journal"

DOI: 10.1109/jsen.2019.2912938

Abstract: With the proliferation of the Internet of Thing (IoT) technologies in vertical industry applications, provisioning of accurate synchronization and low latency communication has become critical for dense wireless IoT networks to support distributed sensing and… read more here.

Keywords: wireless iot; access; synchronization; iot ... See more keywords

Inference Over Wireless IoT Links With Importance-Filtered Updates

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recommendations! Published in 2021 at "IEEE Transactions on Cognitive Communications and Networking"

DOI: 10.1109/tccn.2021.3104287

Abstract: We consider a communication cell comprised of Internet-of-Things (IoT) nodes transmitting to a common Access Point (AP). The nodes in the cell are assumed to generate data samples periodically, which are to be transmitted to… read more here.

Keywords: iot; importance; iot nodes; wireless iot ... See more keywords

System-Level Digital Twin Modeling for Underwater Wireless IoT Networks

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recommendations! Published in 2024 at "Journal of Marine Science and Engineering"

DOI: 10.3390/jmse13010032

Abstract: Digital Twin (DT) technology is pivotal in advancing smart underwater wireless IoT networks and effectively enhancing capabilities for monitoring and managing aquatic environments. For complex system-level DT models in these networks, assembling multiple unit-level DT… read more here.

Keywords: underwater wireless; wireless; iot networks; digital twin ... See more keywords