IEEE Systems Journal最新文献

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IF 4.4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-10-15 DOI: 10.1109/JSYST.2025.3597256

引用次数: 0

Joint Optimization of UAV Trajectory and Number of Reflecting Elements for UAV-Carried IRS-Assisted Data Collection in WSNs Under Hover Priority Scheme 悬停优先方案下机载红外辅助采集无线传感器网络无人机轨迹与反射元数联合优化

IF 4.4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-10-06 DOI: 10.1109/JSYST.2025.3607118

Hong Zhao;Hongbin Chen;Shichao Li;Ling Zhan

{"title":"Joint Optimization of UAV Trajectory and Number of Reflecting Elements for UAV-Carried IRS-Assisted Data Collection in WSNs Under Hover Priority Scheme","authors":"Hong Zhao;Hongbin Chen;Shichao Li;Ling Zhan","doi":"10.1109/JSYST.2025.3607118","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3607118","url":null,"abstract":"Uncrewedaerial vehicle (UAV)-carried intelligent reflecting surfaces (U-IRSs) can be utilized to assist blocked communications between sensor nodes (SNs) and the fusion center in wireless sensor networks (WSNs). This article investigates a U-IRS-assisted data collection system in WSNs that employs the hover priority scheme. Given the energy constraints of UAV, the combined energy consumption from UAV moving/hovering and IRS reflecting elements configuration circuitry poses significant challenges to improving the system’s energy efficiency (EE). To address this challenge, we formulate a multiobjective optimization problem under the constraints of UAV and SN power budgets to make a tradeoff between EE and spectral efficiency. Due to the nonconvexity of the formulated problem, we divide the main problem into three subproblems: user association, the number of reflecting elements, and UAV trajectory optimization. An alternating optimization algorithm integrating the genetic algorithm, the CJ-BS-based cyclic iteration algorithm, Dinkelbach’s algorithm, and the successive convex approximation method is proposed to solve these subproblems. Simulation results demonstrate that the proposed solution outperforms the UAV hovering directly above each SN scheme.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 3","pages":"963-974"},"PeriodicalIF":4.4,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145290213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Event-Triggered Distributed Model Predictive Control for LFC of Interconnected Power System 互联电力系统LFC的事件触发分布式模型预测控制

IF 4.4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-09-17 DOI: 10.1109/JSYST.2025.3597583

Miaomiao Ma;Ruoxin Hao;Xiangjie Liu;Kwang Y. Lee

{"title":"Event-Triggered Distributed Model Predictive Control for LFC of Interconnected Power System","authors":"Miaomiao Ma;Ruoxin Hao;Xiangjie Liu;Kwang Y. Lee","doi":"10.1109/JSYST.2025.3597583","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3597583","url":null,"abstract":"This article studies the event-triggered distributed model predictive control (ET-DMPC) strategy for the load frequency control (LFC) issue of multiarea interconnected power systems (IPSs) subject to bounded disturbances and load reference set-point constraints. The entire IPS comprises multiple dynamically coupled subsystems, each exchanging information with interconnected subsystems through the communication network. Local DMPC controllers are designed with robust constraints and load reference set-point constraints, where robust constraints limit the impact of tie-line power deviations and disturbances. To further alleviate the computational and communication burdens of subsystems, a distributed event-triggered mechanism is proposed, in which the threshold integrates the information of current subsystem state, disturbances, and tie-line power deviations between areas. By comparing this threshold with the deviation between the actual trajectory and the optimal prediction, the instants of optimization problem solving and information transmission are determined, effectively balancing control performance and resource utilization. Moreover, the theoretical conditions guaranteeing Zeno-free behavior, recursive feasibility, and closed-loop stability are analyzed. Finally, simulation results and analysis for a three-area IPS demonstrate that computational and communication burdens are significantly reduced while achieving a satisfactory LFC objective, which validates the effectiveness of the ET-DMPC strategy.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 3","pages":"983-994"},"PeriodicalIF":4.4,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145290245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic Event-Triggered Consensus of Matrix-Weighted Linear Multiagent Systems 矩阵加权线性多智能体系统的动态事件触发一致性

IF 4.4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-09-17 DOI: 10.1109/JSYST.2025.3600449

Yanting Huang;Chengjie Xu;Zi-Ang Song;Guohua Zhang

引用次数: 0

IEEE Systems Council Information IEEE系统委员会信息

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-06-17 DOI: 10.1109/JSYST.2025.3564689

引用次数: 0

IEEE Systems Journal Information for Authors IEEE系统期刊信息作者

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-06-17 DOI: 10.1109/JSYST.2025.3564691

引用次数: 0

Optimize Communication Architecture in Dynamic Combat Environment via Online Learning 通过在线学习优化动态战斗环境下的通信体系结构

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-04-28 DOI: 10.1109/JSYST.2025.3553551

Hao Yuan;Tao Chen;Bangbang Ren;Mengmeng Zhang;Xueshan Luo

{"title":"Optimize Communication Architecture in Dynamic Combat Environment via Online Learning","authors":"Hao Yuan;Tao Chen;Bangbang Ren;Mengmeng Zhang;Xueshan Luo","doi":"10.1109/JSYST.2025.3553551","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3553551","url":null,"abstract":"The application of artificial intelligence, Big Data, and other advanced technologies has dramatically improved the intelligence level of the combat system-of-systems and accelerated the combat rhythm, which requires higher decision speed in the support of high-quality combat communication architecture. In reality, due to the poor infrastructure conditions on the battlefield, the communication services of the combat units are usually provided by the communication units with limited communication resources. Thus, figuring out an efficient method to share the scarce communication resources among massive combat units becomes crucial. However, it is challenging to efficiently construct the connection relationship and allocate communication resources to the operational units because of the differences in communication requirements and the randomness of location movement of combat units, i.e., unable to obtain battlefield environmental information in advance. In this article, we propose an online learning (OL)-based combat communication architecture construction method, which can estimate the current state of the battlefield environment by interacting with it and dynamically construct connection relationships and allocating communication resources according to the needs and locations of operational units, so as to maximize the QoE. The evaluation results demonstrate that our proposed OL-based approach is capable of constructing the combat communication architecture in a flexible and efficient manner, surpassing existing methods in terms of efficiency and fairness by significantly enhancing the total QoE up to twice as much compared to baseline methods.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 2","pages":"435-446"},"PeriodicalIF":4.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A High-Dimensional Dynamic Characteristics-Based Boundary Test Scenario Generation Method for UAVs in Dynamic Target Tracking 基于高维动态特性的无人机动态目标跟踪边界测试场景生成方法

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-04-24 DOI: 10.1109/JSYST.2025.3554840

Dezhen Yang;Yeyang Liu;Yi Ren;Xiaobin Li;Zili Wang

{"title":"A High-Dimensional Dynamic Characteristics-Based Boundary Test Scenario Generation Method for UAVs in Dynamic Target Tracking","authors":"Dezhen Yang;Yeyang Liu;Yi Ren;Xiaobin Li;Zili Wang","doi":"10.1109/JSYST.2025.3554840","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3554840","url":null,"abstract":"Effective boundary scenario generation methods are critical for dynamic target tracking when evaluating the performance of unmanned aerial vehicles. However, traditional methods primarily rely on exhaustive testing or random sampling and often assume that different contributing factors are independent. This results in the ineffective generation of boundary scenarios and a lack of realism. In this study, a novel high-dimensional dynamic characteristics-based boundary test scenario generation method is proposed using reinforcement learning (RL). Boundary test scenarios can be explored more purposive, by designing an appropriate reward function. First, an innovative scenario modeling method is developed to model the influence of environment, occlusion, and other interference. A joint distribution model of the key correlation factors, such as light intensity and clouds, is also established. This ensures scenario authenticity and test accuracy. Subsequently, a high-dimensional dynamic spatial Markov decision process (HDDS-MDP) model is constructed to facilitate the generation of boundary scenarios based on the scenario modeling. Ultimately, RL is employed to solve the HDDS-MDP model and generate boundary test scenario, thereby substantially improves the effectiveness of boundary test scenario generation. The simulation results indicate that the boundary test scenario generation effectiveness is improved by 91% over random sampling methods.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 2","pages":"553-564"},"PeriodicalIF":4.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Secure Performance Analysis of User Pairs in Active Reconfigurable Intelligent Surface-Aided IoT Systems 主动可重构智能表面辅助物联网系统中用户对安全性能分析

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-04-23 DOI: 10.1109/JSYST.2025.3553818

Minh-Sang Van Nguyen;Dinh-Thuan Do;Phu Tran Tin;Alireza Vahid

{"title":"Secure Performance Analysis of User Pairs in Active Reconfigurable Intelligent Surface-Aided IoT Systems","authors":"Minh-Sang Van Nguyen;Dinh-Thuan Do;Phu Tran Tin;Alireza Vahid","doi":"10.1109/JSYST.2025.3553818","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3553818","url":null,"abstract":"We investigate the integration of an active reconfigurable intelligent surface (ARIS) with nonorthogonal multiple access (NOMA) to enhance the secrecy performance and the security capabilities in Internet of Things (IoT) systems. The system model incorporates ARIS and NOMA, allowing for improved power allocation and higher security. In particular, the physical-layer security of an ARIS-NOMA system is investigated when the system is subject to eavesdropping by a malicious user in a user pair group. To provide real-world impact, we examine the main system performance metrics, including the connection outage probability, the secrecy outage probability (SOP), and the strictly positive secrecy capacity, which are important guidelines in evaluating the system's reliability, security, and achievable secrecy rates. We evaluate the impact of distances between the ARIS, the eavesdropper, and the base station on the SOP. We derive the optimal power allocation factors in the NOMA scheme, which provides insights into the system design and parameter adjustment to achieve robust and secure operation. In comparison to a benchmark model using the orthogonal multiple access, we show ARIS-NOMA is a promising solution to further enhance security and secrecy in IoT networks.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 2","pages":"370-381"},"PeriodicalIF":4.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Differentially Private Aperiodic Sampled-Data Consensus for Intelligent Interconnected Heterogeneous Vehicular Platoons 智能互联异构车辆队列的差分私有非周期采样数据一致性

IF 4 3区计算机科学

IEEE Systems Journal Pub Date : 2025-04-21 DOI: 10.1109/JSYST.2025.3557729

Guoliang Chen;Wenqing Zhao;Jianwei Xia;Zhichuang Wang;Ju H. Park

{"title":"Differentially Private Aperiodic Sampled-Data Consensus for Intelligent Interconnected Heterogeneous Vehicular Platoons","authors":"Guoliang Chen;Wenqing Zhao;Jianwei Xia;Zhichuang Wang;Ju H. Park","doi":"10.1109/JSYST.2025.3557729","DOIUrl":"https://doi.org/10.1109/JSYST.2025.3557729","url":null,"abstract":"In this article, the vehicular platoons under aperiodic sampled-data information exchange between connected neighbors are implemented with an average output consensus while achieving differential privacy protection. Initially, the complex vehicle dynamics system is simplified into a heterogeneous linear system interconnected through a communication graph. Subsequently, a distributed hybrid controller is deployed, specifically tailored for handling the intermittent sampled-data information, and is augmented with a dynamic noise generator. This framework restricts information exchange to a predefined neighborhood set of vehicles. To ensure differential privacy, design and incorporate random noise adhering to a Laplace distribution, where the decay index and control gain are adjustable parameters corresponding to the desired privacy level and system accuracy, respectively. This noise injection is guided by a differential privacy noise utilization algorithm. The controller design is then formulated and solved using a combination of the pole placement method and the generalized inverse concept, enabling effective networked control. Lastly, simulation examples are provided to rigorously validate the proposed theoretical framework, demonstrating its efficacy in maintaining platoon coherence while preserving the privacy of individual vehicle data.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 2","pages":"612-623"},"PeriodicalIF":4.0,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144339021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0