Recent Articles

Open access

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

Model Layered Optimization with Contrastive Learning for Personalized Federated Learning

In federated learning (FL), the distribution of data across different clients leads to the degradation of global model performance in training. Personalized Federated Learning (pFL) can address this...

Experience Replay with Cohesive-Subgraph Awareness for Continual Graph Learning in IoT

In 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 networks,...

Deep Reinforcement Learning-based Forwarding Node Selection Algorithm in Internet of Vehicles

Due to open communication environment, Internet of Vehicles (IoV) are vulnerable to many attacks, including the gray hole attack, which can disrupt the process of transmitting messages. And this results...

Capacity and delay performance analysis for large-scale UAV-enabled wireless networks

In this paper, we analyze the capacity and delay performance of a large-scale Unmanned Aerial Vehicle (UAV)-enabled wireless network, in which untethered and tethered UAVs deployed with content files...

Energy-saving control strategy for ultra-dense network base stations based on multi-agent reinforcement learning

Aiming at the problem of mobile data traffic surge in 5G networks, this paper proposes an effective solution combining massive multiple-input multiple-output techniques with Ultra-Dense Network (UDN)...

Accurate and efficient elephant-flow classification based on co-trained models in evolved software-defined networks

Accurate early classification of elephant flows (elephants) is important for network management and resource optimization. Elephant models, mainly based on the byte count of flows, can always achieve...

Enhancing flexibility and system performance in 6G and beyond: A user-based numerology and waveform approach

A Mixed Numerology OFDM (MN-OFDM) system is essential in 6G and beyond. However, it encounters challenges due to Inter-Numerology Interference (INI). The upcoming 6G technology aims to support innovative...

FlyCache: Recommendation-driven edge caching architecture for full life cycle of video streaming

With the rapid development of 5G technology, the proportion of video traffic on the Internet is increasing, bringing pressure on the network infrastructure. Edge computing technology provides a feasible...

Efficient modulation mode recognition based on joint communication parameter estimation in non-cooperative scenarios

Due to the neglect of the retrieval of communication parameters (including the symbol rate, the symbol timing offset, and the carrier frequency), the existing non-cooperative communication mode recognizers...

An efficient conjunctive keyword searchable encryption for cloud-based IoT systems

Data privacy leakage has always been a critical concern in cloud-based Internet of Things (IoT) systems. Dynamic Symmetric Searchable Encryption (DSSE) with forward and backward privacy aims to address...

CC-OLIA: A dynamic congestion control algorithm for multipath QUIC in mobile networks

High-quality services in today's mobile networks require stable delivery of bandwidth-intensive network content. Multipath QUIC (MPQUIC), as a multipath protocol that extends QUIC, can utilize multiple...

A knowledge graph-based reinforcement learning approach for cooperative caching in MEC-enabled heterogeneous networks

Existing wireless networks are flooded with video data transmissions, and the demand for high-speed and low-latency video services continues to surge. This has brought with it challenges to networks...

A deep-learning-based MAC for integrating channel access, rate adaptation, and channel switch

With increasing density and heterogeneity in unlicensed wireless networks, traditional MAC protocols, such as Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) in Wi-Fi networks, are...

Profit-driven distributed trading mechanism for IoT data

Data trading is a crucial means of unlocking the value of Internet of Things (IoT) data. However, IoT data differs from traditional material goods due to its intangible and replicable nature. This difference...

FedStrag: Straggler-aware federated learning for low resource devices

Federated Learning (FL) has become a popular training paradigm in recent years. However, stragglers are critical bottlenecks in an Internet of Things (IoT) network while training. These nodes produce...

VANETs group message secure forwarding with trust evaluation

Efficient and safe information exchange between vehicles can reduce the probability of road accidents, thereby improving the driving experience of vehicles in Vehicular Ad Hoc Networks (VANETs). This...

Hierarchical flow learning for low-light image enhancement

Low-light images often have defects such as low visibility, low contrast, high noise, and high color distortion compared with well-exposed images. If the low-light region of an image is enhanced directly,...

Environment-aware streaming media transmission method in high-speed mobile networks

With technological advancements, high-speed rail has emerged as a prevalent mode of transportation. During travel, passengers exhibit a growing demand for streaming media services. However, the high-speed...

Proof-of-trusted-work: A lightweight blockchain consensus for decentralized IoT networks

Traditional Internet of Things (IoT) architectures that rely on centralized servers for data management and decision-making are vulnerable to security threats and privacy leakage. To address this issue,...

Blockchain-based lightweight trusted data interaction scheme for cross-domain IIoT

To facilitate cross-domain data interaction in the Industrial Internet of Things (IIoT), establishing trust between multiple administrative domains is essential. Although blockchain technology has been...

Performance analysis of RIS-assisted dual-hop mixed FSO-RF UAV communication systems

In this paper, we investigate a Reconfigurable Intelligent Surface (RIS)-assisted Free-Space Optics–Radio Frequency (FSO–RF) mixed dual-hop communication system for Unmanned Aerial Vehicles (UAVs)....

Sum rate maximization in UAV-assisted data harvesting network supported by CF-mMIMO system exploiting statistical CSI

Unmanned Aerial Vehicles (UAVs) have been considered to have great potential in supporting reliable and timely data harvesting for Sensor Nodes (SNs) from an Internet of Things (IoT) perspective. However,...

Interest-aware joint caching, computing, and communication optimization for mobile VR delivery in MEC networks

In the upcoming B5G/6G era, Virtual Reality (VR) over wireless has become a typical application, which is an inevitable trend in the development of video. However, in immersive and interactive VR experiences,...

Joint jammer selection and power optimization in covert communications against a warden with uncertain locations

In covert communications, joint jammer selection and power optimization are important to improve performance. However, existing schemes usually assume a warden with a known location and perfect Channel...

Cross-chain mapping blockchain: Scalable data management in massive IoT networks

We propose a Cross-Chain Mapping Blockchain (CCMB) for scalable data management in massive Internet of Things (IoT) networks. Specifically, CCMB aims to improve the scalability of securely storing,...

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