Recent Articles

Open access

ISSN: 2352-8648
CN: 50-1212/TN
p-ISSN: 2468-5925

Service chain caching and task offloading in two-tier UAV-assisted vehicular edge computing networks: An attention-DRL method

Unmanned Aerial Vehicle (UAV)-assisted Vehicular Edge Computing Networks (VECNs) have emerged as a promising solution to enhance service quality for ground vehicle users. However, the growing demands...

NPO-BAND: Number and placement optimization for backhaul-aware UAV network deployment

In emergency communication scenarios, exploiting Unmanned Aerial Vehicles (UAVs) as relays to provide wireless communication services for ground users has emerged as a promising application. A key challenge...

Distributed context-aware Transformer-enabled dynamic energy consumption prediction for smart building networks

The integration of communication networks and artificial intelligence enables the effective collection of data over smart building networks, facilitating more accurate predictions of Building Energy...

Wireless-optical switching and communication based on metasurfaces: From multi-parameter regulation to potential applications

This review provides a comprehensive survey of the most recent developments in metasurfaces for applications in domains including wireless-optical switching and communications. In particular, we focus...

Energy minimized joint resource allocation and task offloading with user association for URLLC and eMBB 5G multi-RAT systems

In this paper, a multi-agent deep reinforcement learning-based joint resource allocation and task offloading control technique is proposed to minimize the energy consumption of user equipment (UE) supporting...

Statistical energy consumption analysis and optimization for relaying transmission with wireless power transfer

Improving the energy efficiency of information transmission is very critical to the development of future Internet of Things (IoT). Considering the sporadic characteristics for IoT transmissions, the...

CGGM: a conditional graph generation model with adaptive sparsity for node anomaly detection in IoT networks

Dynamic graphs are increasingly utilized for detecting anomalous behaviors in nodes within the Internet of Things (IoT). Graph generative models play a pivotal role in addressing the challenge of imbalanced...

Data grading for intelligent connected vehicles: an inference strength-driven framework

Intelligent Connected Vehicles (ICVs) generate massive heterogeneous multi-modal data during operation, and due to the limited computing resources on board, graded data encryption protection is of great...

NEEM: A Neighborhood Entropy Energy-Based Model for High-Dimensional Data Distribution Estimation in Intelligent Communication Networks

Energy-based models have shown strong potential in unsupervised learning due to their flexibility in representing complex and uncertain distributions. However, for high-dimensional and locally non-uniform...

Decentralized semi-federated learning in digital twin-empowered industrial IoT

Recently, Industrial Edge Intelligence (IEI) is becoming a key component to achieve smart factory. However, the large amount of required training data, data privacy issues, and heterogeneous computation...

Joint secure beamforming and sensing strategy for ISAC-enabled LEO satellite system

In the aspect of enhancing the spectrum and hardware efficiency in satellite communications, Integrated Sensing and Communication (ISAC) plays a vital role. However, the open nature of the wireless...

Overcoming constructive/destructive interference in diversity transmission via Alamouti coding

We propose a novel Alamouti-Orthogonal Frequency Division Multiplexing (OFDM) system that mitigates constructive and destructive interference in practical multi-antenna wireless communications. The...

A generalizable BERT-GNN hybrid framework for unified log anomaly detection

Logs are essential for monitoring large-scale distributed systems, yet their volume and structural heterogeneity pose substantial challenges for automated analysis. Conventional approaches often struggle...

Federated anomaly detection in smart grid systems

Smart Grid infrastructures have enhanced energy distribution efficiency, reliability, and sustainability, but their proper operation requires robust anomaly detection to mitigate risks from equipment...

GCRA-FWVAE: Anomaly detection for IIoT univariate time series using time-frequency domain analysis

With the rapid development of Artificial Intelligence of Things (AIoT) technologies, the security of Industrial Internet of Things (IIoT) data faces increasing challenges, particularly in time series...

Experience replay with cohesive-subgraph awareness for continual graph learning in IoT

In the Internet-of-Things (IoT) scenarios, Continual Graph Learning (CGL) has become a key technique for capturing the complex relational structures underlying diverse applications including sensor...

DRL-enabled secure uplink transmission for MIMO-OFDM IoT systems against intelligent eavesdroppers

Physical layer security has emerged as a promising approach to counter eavesdropping threats in the Internet of Things (IoT). With the advancement of technology, eavesdroppers (Eves) are increasingly...

Personalized and sustainable federated learning in integrated Internet of Things

Integrated Internet of Things (IoT) brings novel opportunities for pervasive smart services, as these systems allow for seamless information and resource sharing among IoT devices. Meanwhile, Federated...

Communication-efficient federated multi-domain learning for network anomaly detection

Efficient and accurate anomaly detection in a network is of great significance for maintaining network and device security. Most anomaly detection methods assume that different anomalous network data...

Optimizing foreign fiber segmentation performance with DeepLab V3+ and GAN in industrial IoE environments

In industrial Internet of Everything (IoE) environments, the precise detection of tiny foreign fibers on the surface of bobbin yarns is crucial for ensuring the quality of textile products. However,...

RADAR: A rapid discovery algorithm for routes in SDN-based IoV

Link failures are a critical issue that disrupts consistent communications in the fast-evolving Internet-of-Vehicles (IoV) environment. In response to the aforementioned limitation, we introduce the...

Path planning of autonomous underwater vehicle for data collection of the Internet of everything

Autonomous Underwater Vehicle (AUV) has become an important tool to accomplish various path planning tasks due to its high intelligence and good maneuverability. Aiming at the problem of data collection...

DDMI: a model information evaluation method based on deep dream

In recent years, the Internet of Everything (IoE) has been developing rapidly; however, there are currently issues with efficiency and sustainability within IoE. To address this problem, model lightweighting...

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