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IEEE Transactions on Network Science and Engineering
Issue 99
Showing 1-25 of 117
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Enhancing Quantum Communication: A Fair and Restricted Resource Allocation Approach for Entanglement Networks
Publication Year: 2025,Page(s):1 - 12
Quantum entanglement networks has ushered in a new era of communication, with the core task of generating long-distance quantum entanglement being crucial for a multitude of quantum applications. Although current research is primarily focused on establishing long-distance entanglement across various network topologies, there is still a lack of attention to the variability of communication requests...Show More
Online Influence Maximization With Semi-Bandit Feedback Under Corruptions
Publication Year: 2025,Page(s):1 - 14
In this work, we investigate the online influence maximization in social networks. Most prior research studies on online influence maximization assume that the nodes are fully cooperative and act according to their stochastically generated influence probabilities on others. In contrast, we study the online influence maximization problem in the presence of some corrupted nodes whose damaging effect...Show More
Early Diabetic Retinopathy Cyber-Physical Detection System Using Attention-Guided Deep CNN Fusion
Publication Year: 2025,Page(s):1 - 13
Diabetic retinopathy is the most common and severe eye complication of diabetes, and it can cause vision loss or even blindness due to retina damage. Automatic and faster detection of various DR stages is crucial and can benefit both patients and ophthalmologists. With the ubiquity of measurement devices and growing processing power, cyber-physical characterization is becoming an enabler technolog...Show More
ProxaDyn: A Proximity-aware Dynamic Caching Approach for Named Data Networks
Publication Year: 2025,Page(s):1 - 14
Named Data Network (NDN), a future Internet architecture is introduced to address the shortcomings of the current Internet architecture. NDN supports in-network caching to facilitate scalable content distribution and enhance overall network performance. However, the known NDN caching strategies suffer from a few common drawbacks, such as inefficient cache utilization, high content redundancy, and ...Show More
Multi-Task Load Identification and Signal Denoising Via Hierarchical Knowledge Distillation
Publication Year: 2025,Page(s):1 - 14
Complex neural networks with deep structures are beneficial for solving problems such as load classification in Non-intrusive load monitoring (NILM) due to their powerful feature extraction capabilities. Unfortunately, corresponding complex models designed based on deep learning algorithms require high computational and memory resources. Additionally, the external noise interference during practic...Show More
Federated Learning-Based Offset-Free Distributed Control of Nonlinear Networked Systems With Application to IIoT
Publication Year: 2025,Page(s):1 - 13
Preserving data privacy in data-driven modeling for the Industrial Internet of Things (IIoT) has become critically important due to the susceptibility of communication data from numerous devices to cyber-attacks. Given its multi-subsystem integration, nonlinear interactions, and networking characteristics, IIoT can be modeled as nonlinear networked systems (NNSs). This paper presents a federated l...Show More
Multi-orbit circumnavigation control of UAVs with arbitrary angular spacing in three-dimensional space
Publication Year: 2025,Page(s):1 - 12
In this paper, a novel multi-orbit circumnavigation control law is proposed for a group of UAVs with arbitrary angular spacing based on local information. By constructing the actual relative velocity and the ideal relative velocity in three dimensional space, the circumnavigation control problem of moving target is first transformed into a relative velocity tracking problem. Further, to remove the...Show More
Game-Theoretic Protection Adoption Against Networked SIS Epidemics
Publication Year: 2025,Page(s):1 - 15
In this paper, we investigate game-theoretic strategies for containing spreading processes on large-scale networks. Specifically, we consider the class of networked susceptible-infected-susceptible (SIS) epidemics where a large population of agents strategically choose whether to adopt partially effective protection. We define the utilities of the agents which depend on the degree of the agent, it...Show More
Dynamic Event-Triggered Optimal Control for Heterogeneous Vehicle Platoon Based on Integral Reinforcement Learning
Publication Year: 2025,Page(s):1 - 12
This article investigates the issue of data-based distributed optimal control for third-order heterogeneous vehicle platoon system (HVPS) with input saturation under switching topology. In the control design, the integral reinforcement learning (IRL) algorithm is used to learn the online solution of the Hamilton-Jacobi-Bellman (HJB) equation with unknown dynamics. Combining IRL algorithm and criti...Show More
Achievable Rate Optimization of RIS-Assisted Multi-Antenna FD DF Relay Cooperation System With SWIPT Technology
Publication Year: 2025,Page(s):1 - 11
To pursue higher achievable rate and wider coverage transmission in wireless communications, this paper proposes a novel reconfigurable intelligent surfaces (RIS)-assisted multi-antenna full-duplex (FD) decode-and-forward (DF) relay cooperation system with simultaneous wireless information and power transfer (SWIPT) technology, which can fully enjoy the advantages of both RIS and SWIPT-based FD DF...Show More
UAV-NIDD: A Dynamic Dataset for Cybersecurity and Intrusion Detection in UAV Networks
Hassan Jalil Hadi;Yue Cao;Muhammad Khurram Khan;Naveed Ahmad;Yulin Hu;Chao Fu
Publication Year: 2025,Page(s):1 - 25
Unmanned Aerial Vehicles (UAVs) are necessary for numerous tasks but are vulnerable to cyber threats due to their widespread use and connectivity. The lack of a comprehensive dataset necessitates the development of effective detection and mitigation solutions. Our work introduces UAV-NIDD, a new dataset that addresses the gaps in understanding and countering both cyber and physical threats in UAV ...Show More
Resilient Reliability/Loss-Based Distribution Network Reconfiguration: A Strategy Against FDI Attacks During State Estimation Procedure
Reza Behnam;Hamid Reza Baghaee;Gevork B. Gharehpetian;Roya Ahmadiahangar;Argo Rosin
Publication Year: 2025,Page(s):1 - 13
One of the intrinsic properties of Distribution networks, resilience, is the ability to resist, adjust, and recover from extreme, high-impact, low-probability events such as earthquakes, floods, hurricanes, thunderstorms, and cyber and physical attacks. Besides, the uncertainty of the network elements has a significant effect on the operation of the distribution system. Operators require methods a...Show More
Large-Scale Group Opinion Evolution With Coexistence of Influential Individuals and Strongly Organized Groups Based on Mean Field Games
Publication Year: 2025,Page(s):1 - 15
With the vigorous development of online media, the prevalence of key opinion leaders and water armies has led to unexpected evolutions of users' opinions. Therefore, it is valuable and interesting to investigate the opinion evolution problem for large-scale groups with the coexistence of influential individuals and strongly organized groups. For the above problem, based on the mean-field game theo...Show More
Efficient Federated Learning in Wireless Networks with Incremental Model Quantization and Uploading
Zheng Qin;Gang Feng;YiJing Liu;Takshing P. Yum;Fei Wang;Jun Wang
Publication Year: 2025,Page(s):1 - 14
Federated Learning (FL) has been widely recognized as a promising promoter for future intelligent wireless networks, by collaboratively training a global machine learning (ML) model in a privacy-preserving manner. However, the transmission of large-scale models between clients and servers is susceptible to limited communication resources. Recently proposed model quantization can reduce communicati...Show More
Protocol-Based Model Predictive Control for Networked Switching Systems With Piecewise-Homogeneous Sojourn Probabilities
Publication Year: 2025,Page(s):1 - 11
Networked switching systems, which integrate multiple subsystems controlled by switching signals, play a crucial role in modern cyber-physical applications such as industrial automation and smart grids. However, their performance is often limited by constrained communication bandwidth and complex dynamic interactions. To address these challenges, this paper proposes a protocol-based model predicti...Show More
LEO Satellite Assisted Edge Computing with Latency and Energy Optimization
Ao Li;Ting Zhou;Tianheng Xu;Yuling Ouyang;Honglin Hu;Celimuge Wu
Publication Year: 2025,Page(s):1 - 14
Low earth orbit (LEO) satellite networks hold significant promise for delivering global communication services in next-generation mobile communication networks. The integration of edge computing with LEO satellite networks enables stable and reliable communication and computation services for ground user equipment (UE). This paper proposes an LEO satellite-assisted cooperative edge computing frame...Show More
DDPS: Dynamic Differential Pricing-Based Edge Offloading System With Energy Harvesting Devices
Publication Year: 2025,Page(s):1 - 17
Mobile edge computing (MEC) mitigates the energy and computation burdens on mobile users (MUs) by offloading tasks to the network edge. To optimize MEC server utilization through effective resource allocation, a well-designed pricing strategy is indispensable. In this paper, we propose a dynamic differential pricing scheme (DDPS) for an edge offloading scenario with energy harvesting devices, whic...Show More
Distributed Guaranteed-Performance Consensus of Networked Systems Without Involving the Feasibility Condition: A Hierarchical Algorithm
Publication Year: 2025,Page(s):1 - 13
This paper utilizes a hierarchical algorithm to focus on the distributed guaranteed-performance consensus problem of multiagent systems subjected to communication faults. With this algorithm, the consensus problem can be transformed into the tracking problem of agents in adjacent layers, and the constraint range for tracking errors does not depend on the Laplacian matrix of the communication topol...Show More
Attributes based Vehicular Named Data Networking for Driving Assistance
Publication Year: 2025,Page(s):1 - 10
The Named Data Networking (NDN) provides an efficient data delivery paradigm, so it is introduced to vehicular environments, called the Vehicular Named Data Networking (VNDN), to enhance efficiency of vehicular data dissemination. NDN only provides the pull-based data delivery mode, but vehicular data is required to be transmitted in both push and pull modes. Moreover, the caching-everything-every...Show More
Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning
Publication Year: 2025,Page(s):1 - 12
To alleviate the shortage of computing power faced by clients in training deep neural networks (DNNs) using federated learning (FL), we leverage the edge computing and split learning to propose a model-splitting allowed FL (SFL) framework, with the aim to minimize the training latency without loss of test accuracy. Under the synchronized global update setting, the latency to complete a round of gl...Show More
Cyber-physical Defense for Heterogeneous Multi-agent Systems Against Exponentially Unbounded Attacks on Signed Digraphs
Publication Year: 2025,Page(s):1 - 15
Cyber-physical systems (CPSs) are subjected to attacks on both cyber and physical spaces. In reality, attackers could launch any time-varying signals. Existing literature generally addresses bounded attack signals and/or bounded-first-order-derivative attack signals. In contrast, this paper proposes a privacy-preserving fully-distributed attack-resilient bilayer defense framework to address the bi...Show More
Adaptive Nash Equilibrium Seeking in Hybrid Heterogeneous Open Multi-Agent Systems under DoS Attacks
Publication Year: 2025,Page(s):1 - 12
This paper investigates the problem of adaptive Nash equilibrium (NE) seeking in hybrid heterogeneous open multi-agent systems (MASs) under Denial-of-Service (DoS) attacks. In the considered open MASs, agents can join or leave the network at any time, which leads to a changeable system size. To address this challenge, we propose a fully distributed control framework that enables agents with hetero...Show More
A Lightweight Method for Botnet Detection in Internet of Things Environment
Publication Year: 2025,Page(s):1 - 16
Botnets pose a significant threat to Internet of Things (IoT) environments due to the limited computational resources of IoT devices, making traditional detection methods difficult to implement. These constraints not only hinder effective real-time detection but also leave networks vulnerable to large-scale DDoS and botnet attacks, posing a critical threat to modern connected systems. Aiming to de...Show More
A Stackelberg Game Framework for Energy Internet System By Operator Approach
Publication Year: 2025,Page(s):1 - 15
This paper proposes a Stackelberg game framework for managing an Energy Internet System that integrates renewable energy generation, energy conversion, and energy trading. The system comprises hubs controlled by competing energy companies, incorporating both external energy trading and peer-to-peer energy exchanges. It involves multiple stakeholders whose decisions are interdependent, creating cha...Show More
Joint Content Caching and Request Routing for User-Centric Many-Objective Metaverse Services
Zhaoming Hu;Chao Fang;Zhuwei Wang;Jining Chen;Shu-Ming Tseng;Mianxiong Dong
Publication Year: 2025,Page(s):1 - 14
Metaverse, as a revolutionary technology that changes the way of human interaction, brings new challenges to content delivery services due to the extensive data transmission and personalized service requirements. To ensure a personalized user experiences while improving the utilization of heterogeneous network resources, a user-centric many-objective metaverse content delivery framework is propose...Show More
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