This article addresses the issue of achieving security consensus in multi-agent systems (MASs) that are susceptible to denial-of-service attacks (DoS-As) and time-varying communication delays (TCD). We have developed a novel unified model to ...

• A novel switching adaptive dynamic event-triggered mechanism (SADETM) has developed, wherein the adaptive parameters and switching variables are incorporated into the trigger threshold. The threshold can be modified to adaptive event-...

Network traffic anomaly detection is a crucial task for today's network monitoring and maintenance. However, with the rapid growth of network data volume, the data structure has become more and more complex, showing multi-modal characteristics, ...

Future flow prediction in spatiotemporal traffic data is a critical requirement for real-world applications, particularly for multi-feature and large-scale data with intricate forecasting mechanisms and varied predictability. Prior sequence-to-...

This article deals with finite/fixed-time cluster synchronization (FnTCS/FdTCS) issue for directed and multiplex coupled dynamic networks (MCDNs). Finite/fixed-time synchronization of multiplex networks has become a popular research topic, which ...

With the development of brain-computer interface (BCI), electroencephalogram (EEG) is considered to be one of the best physiological signals to detect the fatigue state of drivers due to its advantages of extremely high time resolution and low ...

Urban rail transit (URT) plays a crucial role in mitigating urban traffic congestion by offering faster and higher-quality travel services. Short-term passenger flow predictions have practical significance for metro management and operation. ...

The function of network traffic prediction plays an important role in many network operations such as security, path planning and congestion control etc. Most traditional traffic prediction methods only consider temporal correlation but ignore ...

Hierarchical graph neural networks (HGNNs) provide a feasible method for modeling complex spatiotemporal dependencies during mobile traffic forecasting. However, most existing studies have adopted spatial node clustering methods to construct a ...

The deployment of unmanned aerial vehicles (UAVs) in ultra-dense networks (UNDs) has significantly advanced network capabilities in 5G/6G environments, addressing coverage enhancement and security concerns. Our research presents a deep ...

Real-world traffic prediction is challenging and requires accuracy, efficiency, and generalizability for applications. Most studies used two-step data imputation-prediction procedures or recurrent networks to perform predictions based on imputed ...

The advancement in communication technology nowadays has increased the number of networked devices exponentially. Thus, network applications begin to cluster terminals to address scalability, privacy, and device connectivity with low routing ...

Unbalanced consensus latency in reaching a consensus on transactions occurs due to differences in the ability of different committees to process transactions. As the consensus latency accumulates, the transaction throughput of the sharding ...

Traffic matrix (TM) prediction aims to forecast future traffic data for networks using historical traffic matrices. TM prediction plays a critical role in solving network engineering tasks such as routing management, capacity planning, and ...

In modern manufacturing industries, industrial components are becoming increasingly open and interconnected which significantly promotes the collaboration capability and producing efficiency on one hand, while, on the other hand, makes the ...

This paper investigates the asymptotic projective synchronization and finite-time projective synchronization (FPS) of complex networks (CNs) with nonidentical nodes and quantized time-varying delayed coupling. Adaptive control method and finite-...

Mobile edge computing has been a promising paradigm to reduce the computation delay of tasks and extend the battery life of Internet of Things devices. Most existing task offloading methods in mobile edge computing networks are based on stable ...

• Presenting a novel collaboration architecture for a MEC network with diverse users.
• Establishing a Markovian arrival process-based system model.
• Formulating an online task offloading problem for random network environment.
• ...

Neighbor discovery is basic for Wireless Sensor Networks (WSNs) communication, which is the key to network performance. Since sensor nodes were powered by battery, sleep/active rotation was widely adopted to save energy, which led to the neighbor ...

Low-delay and low-cost communication are the main concerns of the wireless sensor-based Internet of Things (IoT), which is widely deployed in various kinds of applications. Adopting wake-up radio (WuR)-enabled wireless sensor nodes can ...

During the epidemic outbreak, a substantial volume of information circulated among the public concerning the disease. To account for both local and global information, as well as individual differences, we developed a multi-information epidemic ...

• Information dissemination and epidemic spreading are intertwined on a two-layer network.
• Both local and global information are considered in the spreading model.
• Results indicate negative information can also impede epidemic ...

Due to the limited resources of Internet of Things (IoT) devices, the multimedia application data generated by IoT devices can be offloaded to edge servers for processing. In this paper, we study the credibility-guaranteed multimedia application ...

• We study the credibility-guaranteed multimedia data offloading model.
• We prove that the proposed game is a potential game, and give the corresponding potential function.
• We propose the game-based credible data offloading algorithm ...