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Liangkun Yu, Xiang Sun, Rana Albelaihi and Chen Yi
Federated learning (FL) is a collaborative machine-learning (ML) framework particularly suited for ML models requiring numerous training samples, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Random Forest, in the co...
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Han Gao, Zhangqin Huang, Xiaobo Zhang and Huapeng Yang
As a narrowband communication technology, long-range (LoRa) contributes to the long development of Internet of Things (IoT) applications. The LoRa gateway plays an important role in the IoT transport layer, and security and efficiency are the key issues ...
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Amanjot Kaur, Shashi Shekhar Jha, Jiong Jin and Hadi Ghaderi
The use of unmanned aerial vehicles (UAV) as an integrated sensing and communication platform is emerging for surveillance and tracking applications, especially in large infrastructure-deficient environments. In this study, we develop a multi-UAV system ...
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Rachid Zagrouba and Amine Kardi
This paper surveys the energy-efficient routing protocols in wireless sensor networks (WSNs). It provides a classification and comparison following a new proposed taxonomy distinguishing nine categories of protocols, namely: Latency-aware and energy-effi...
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HeeSeok Choi, Heonchang Yu and EunYoung Lee
In this study, we consider an edge cloud server in which a lightweight server is placed near a user device for the rapid processing and storage of large amounts of data. For the edge cloud server, we propose a latency classification algorithm based on de...
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Andrei Vladyko, Abdukodir Khakimov, Ammar Muthanna, Abdelhamied A. Ateya and Andrey Koucheryavy
Vehicular ad hoc networks (VANETs) are a recent class of peer-to-peer wireless networks that are used to organize the communication and interaction between cars (V2V), between cars and infrastructure (V2I), and between cars and other types of nodes (V2X)...
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Morillo, P.; Rueda, S.; Orduna, J.M.; Duato, J.
Pág. 1215 - 1226
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