IEEE Transactions on Signal and Information Processing over Networks最新文献_第9页

Probability-Guaranteed Distributed Estimation for Two-Dimensional Systems Under Stochastic Access Protocol 随机访问协议下二维系统的概率保证分布式估计

IF 3.2 3区计算机科学

IEEE Transactions on Signal and Information Processing over Networks Pub Date : 2024-03-11 DOI: 10.1109/TSIPN.2024.3375596

Meiyu Li;Jinling Liang

{"title":"Probability-Guaranteed Distributed Estimation for Two-Dimensional Systems Under Stochastic Access Protocol","authors":"Meiyu Li;Jinling Liang","doi":"10.1109/TSIPN.2024.3375596","DOIUrl":"10.1109/TSIPN.2024.3375596","url":null,"abstract":"This paper studies the probability-guaranteed distributed estimation problem for a kind of two-dimensional shift-varying sensor networks under the stochastic access protocol (SAP). The considered system is affected by unknown-but-bounded perturbations and sector bounded nonlinearity. The communication architecture of a multi-node network is expressed by a digraph. Due to the limited communication channel, each moment allows only one adjacent node to send its measurement data and schedules the signal transmission of the addressing system using the SAP, characterized by a series of independent random variables. For each smart sensor, we designed a distributed estimator based on the network topology as well as the SAP and derived sufficient conditions to ascertain the probability of the estimation error located in the desired ellipsoid being not less than the predetermined value. Collection of these probability ellipsoids acquired at each position is then minimized by solving a set of convex optimization problems in the meaning of matrix trace. Finally, efficiency of the estimator design strategy proposed is demonstrated using a numerical example.","PeriodicalId":56268,"journal":{"name":"IEEE Transactions on Signal and Information Processing over Networks","volume":"10 ","pages":"216-226"},"PeriodicalIF":3.2,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140105672","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

Fully Distributed Consensus Control for a Class of Disturbed Linear Multi-Agent Systems Over Event-Triggered Communication 通过事件触发通信实现一类受干扰线性多代理系统的完全分布式共识控制

IF 3.2 3区计算机科学

IEEE Transactions on Signal and Information Processing over Networks Pub Date : 2024-03-11 DOI: 10.1109/TSIPN.2024.3375612

Jia Deng;Fuyong Wang;Zhongxin Liu;Zengqiang Chen

{"title":"Fully Distributed Consensus Control for a Class of Disturbed Linear Multi-Agent Systems Over Event-Triggered Communication","authors":"Jia Deng;Fuyong Wang;Zhongxin Liu;Zengqiang Chen","doi":"10.1109/TSIPN.2024.3375612","DOIUrl":"10.1109/TSIPN.2024.3375612","url":null,"abstract":"This article is concerned with the fully distributed consensus control problem of a class of disturbed general linear multi-agent systems under event-triggered communication. Different from existing works, the disturbances considered in this article are more practical and complex. Each agent is subject to disturbances generated by exosystems and each exosystem is considered to exist with possible modelling errors. First, a local disturbance observer is designed for each agent to compensate potentially unbounded external disturbances to a bounded situation, but the value of this bound is not accessible because the upper bound of the modelling error is unknown. Second, an adaptive consensus control law with complete disturbance rejection is further proposed, by which the consensus error converges to zero over time. Third, with limited communication resources, an event-triggered communication mechanism is designed for deciding when an agent broadcasts information, which effectively saves communication resources while ensuring that the original control goal is achieved. In addition, it is demonstrated that Zeno behaviour is excluded. Finally, the correctness of the theoretical results is verified by a simulation example.","PeriodicalId":56268,"journal":{"name":"IEEE Transactions on Signal and Information Processing over Networks","volume":"10 ","pages":"205-215"},"PeriodicalIF":3.2,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140105470","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 Estimation With Inter-Event Information Retrieval 事件触发分布式估计与事件间信息检索

IF 3.2 3区计算机科学

IEEE Transactions on Signal and Information Processing over Networks Pub Date : 2024-03-11 DOI: 10.1109/TSIPN.2024.3375605

Xiaoxian Lao;Chunguang Li

{"title":"Event-Triggered Distributed Estimation With Inter-Event Information Retrieval","authors":"Xiaoxian Lao;Chunguang Li","doi":"10.1109/TSIPN.2024.3375605","DOIUrl":"10.1109/TSIPN.2024.3375605","url":null,"abstract":"Distributed estimation has attracted great attention in the last few decades. In the problem of distributed estimation, a set of nodes estimate some parameter from noisy measurements. To leverage joint effort, the nodes communicate with each other in the estimation process. The communications consume bandwidth and energy resources, and these resources are often limited in real-world applications. To cope with the resources constraints, the event-triggered mechanism is proposed and widely adopted. It only allows signals to be transmitted if they carry significant amount of information. Various criteria of determining whether the information is significant lead to different trigger rules. With these rules, the resources can be saved. However, in the meanwhile, some inter-event information, not that important but still of certain use, is unavailable to the neighbors. The absence of these inter-event information may affect the algorithm performance. Considering this, in this paper, we come up with an inter-event information retrieval scheme to recover certain untransmitted information, which is the first work doing so to the best of our knowledge. We design an approach for inter-event information retrieval, and formulate and solve an optimization problem which has a closed-form solution to acquire information. With more information at hand, the performance degeneration caused by the event-triggered mechanism can be alleviated. We derive sufficient conditions for convergence of the overall algorithm. We also demonstrate the advantages of the proposed scheme by simulation experiments.","PeriodicalId":56268,"journal":{"name":"IEEE Transactions on Signal and Information Processing over Networks","volume":"10 ","pages":"253-263"},"PeriodicalIF":3.2,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140105479","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

Online Auditing of Information Flow 信息流在线审计

IF 3.2 3区计算机科学

IEEE Transactions on Signal and Information Processing over Networks Pub Date : 2024-03-10 DOI: 10.1109/TSIPN.2024.3399558

Mor Oren-Loberman;Vered Azar;Wasim Huleihel

{"title":"Online Auditing of Information Flow","authors":"Mor Oren-Loberman;Vered Azar;Wasim Huleihel","doi":"10.1109/TSIPN.2024.3399558","DOIUrl":"10.1109/TSIPN.2024.3399558","url":null,"abstract":"Modern social media platforms play an important role in facilitating rapid dissemination of information through their massive user networks. Fake news, misinformation, and unverifiable facts on social media platforms propagate disharmony and affect society. In this paper, we consider the problem of online auditing of information flow/propagation with the goal of classifying news items as fake or genuine. Specifically, driven by experiential studies on real-world social media platforms, we propose a probabilistic Markovian information spread model over networks modeled by graphs. We then formulate our inference task as a certain sequential detection problem with the goal of minimizing the combination of the error probability and the time it takes to achieve the correct decision. For this model, we find the optimal detection algorithm minimizing the aforementioned risk and prove several statistical guarantees. We then test our algorithm over real-world datasets. To that end, we first construct an offline algorithm for learning the probabilistic information spreading model, and then apply our optimal detection algorithm. Experimental study show that our algorithm outperforms state-of-the-art misinformation detection algorithms in terms of accuracy and detection time.","PeriodicalId":56268,"journal":{"name":"IEEE Transactions on Signal and Information Processing over Networks","volume":"10 ","pages":"487-499"},"PeriodicalIF":3.2,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140937171","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

Distributed Generalized Nash Equilibria Computation of Noncooperative Games Via Novel Primal-Dual Splitting Algorithms 通过新颖的原始-双重分割算法计算非合作博弈的分布式广义纳什均衡点

IF 3.2 3区计算机科学

IEEE Transactions on Signal and Information Processing over Networks Pub Date : 2024-02-09 DOI: 10.1109/TSIPN.2024.3364613

Liang Ran;Huaqing Li;Lifeng Zheng;Jun Li;Zhe Li;Jinhui Hu

{"title":"Distributed Generalized Nash Equilibria Computation of Noncooperative Games Via Novel Primal-Dual Splitting Algorithms","authors":"Liang Ran;Huaqing Li;Lifeng Zheng;Jun Li;Zhe Li;Jinhui Hu","doi":"10.1109/TSIPN.2024.3364613","DOIUrl":"https://doi.org/10.1109/TSIPN.2024.3364613","url":null,"abstract":"This article investigates the generalized Nash equilibria (GNE) seeking problem for noncooperative games, where all players dedicate to selfishly minimizing their own cost functions subject to local constraints and coupled constraints. To tackle the considered problem, we initially form an explicit local equilibrium condition for its variational formulation. By employing proximal splitting operators, a novel distributed primal-dual splitting algorithm with full-decision information (Dist_PDS_FuDeIn) is designed, eliminating the need for global step-sizes. Furthermore, to address scenarios where players lack access to all other players' decisions, a local estimation is introduced to approximate the decision information of other players, and a fully distributed primal-dual splitting algorithm with partial-decision information (Dist_PDS_PaDeIn) is then proposed. Both algorithms enable the derivation of new distributed forward-backward-like extensions. Theoretically, a new analytical approach for convergence is presented, demonstrating that the proposed algorithms converge to the variational GNE of games, and their convergence rates are also proven, provided that uncoordinated step-sizes are positive and less than explicit upper bounds. Moreover, the approach not only generalizes the forward-backward splitting technique but also improves convergence rates of several well-known algorithms. Finally, the advantages of Dist_PDS_FuDeIn and Dist_PDS_PaDeIn are illustrated through comparative simulations.","PeriodicalId":56268,"journal":{"name":"IEEE Transactions on Signal and Information Processing over Networks","volume":"10 ","pages":"179-194"},"PeriodicalIF":3.2,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139942779","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

Strong Convergence of a Random Actions Model in Opinion Dynamics 舆论动力学中随机行动模型的强收敛性

IF 3.2 3区计算机科学

IEEE Transactions on Signal and Information Processing over Networks Pub Date : 2024-02-01 DOI: 10.1109/TSIPN.2024.3361373

Olle Abrahamsson;Danyo Danev;Erik G. Larsson

引用次数: 0

Online Signed Sampling of Bandlimited Graph Signals 带限图形信号的在线符号采样

IF 3.2 3区计算机科学

IEEE Transactions on Signal and Information Processing over Networks Pub Date : 2024-01-22 DOI: 10.1109/TSIPN.2024.3356794

Wenwei Liu;Hui Feng;Feng Ji;Bo Hu

引用次数: 0

Protocol-Based Distributed Security Fusion Estimation for Time-Varying Uncertain Systems Over Sensor Networks: Tackling DoS Attacks 基于协议的传感器网络时变不确定系统分布式安全融合估计：应对 DoS 攻击

IF 3.2 3区计算机科学

IEEE Transactions on Signal and Information Processing over Networks Pub Date : 2024-01-22 DOI: 10.1109/TSIPN.2024.3356789

Lijuan Zha;Yaping Guo;Jinliang Liu;Xiangpeng Xie;Engang Tian

{"title":"Protocol-Based Distributed Security Fusion Estimation for Time-Varying Uncertain Systems Over Sensor Networks: Tackling DoS Attacks","authors":"Lijuan Zha;Yaping Guo;Jinliang Liu;Xiangpeng Xie;Engang Tian","doi":"10.1109/TSIPN.2024.3356789","DOIUrl":"https://doi.org/10.1109/TSIPN.2024.3356789","url":null,"abstract":"This article studies the distributed fusion estimation (DFE) issue for networked multi-sensor systems (NMSSs) with stochastic uncertainties, bandwidth-constrained network and energy-constrained denial-of-service (DoS) attacks. The stochastic uncertainties reflected in both the state and measurement models are characterized by multiplicative noises. For reducing the communication burden, local estimation signals are subject to dimensionality reduction processing. And the improved Round-Robin (RR) protocol is used on the channels from local estimators to the fusion estimator. To reflect the actual situation, the dimensionality reduction strategy is designed from the defender's point of view in the sense of minimum fusion error covariance (FEC). And the attack strategy is designed from the attacker's point of view in the sense of maximum FEC. Then, based on a compensation model, a recursive distributed Kalman fusion estimation algorithm (DKFEA) is proposed. The stability conditions making the mean square error (MSE) for DFE bounded are derived. In the end, the validity of the presented DKFEA is verified by an illustrative example.","PeriodicalId":56268,"journal":{"name":"IEEE Transactions on Signal and Information Processing over Networks","volume":"10 ","pages":"119-130"},"PeriodicalIF":3.2,"publicationDate":"2024-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139695114","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

Lyapunov-Optimized and Energy-Constrained Stable Online Computation Offloading in Wireless Microtremor Sensor Networks 无线微暴传感器网络中的李亚普诺夫优化和能量受限的稳定在线计算卸载

IF 3.2 3区计算机科学

IEEE Transactions on Signal and Information Processing over Networks Pub Date : 2024-01-19 DOI: 10.1109/TSIPN.2024.3355748

Ruyun Tian;Hongyan Xing;Yihan Cao;Huaizhou Zhang

{"title":"Lyapunov-Optimized and Energy-Constrained Stable Online Computation Offloading in Wireless Microtremor Sensor Networks","authors":"Ruyun Tian;Hongyan Xing;Yihan Cao;Huaizhou Zhang","doi":"10.1109/TSIPN.2024.3355748","DOIUrl":"https://doi.org/10.1109/TSIPN.2024.3355748","url":null,"abstract":"The microtremor survey method (MSM) holds great potential for obtaining subsurface shear wave velocity structures in exploration geophysics. However, the lack of an instant imaging mechanism with local fast computation and processing has become a significant bottleneck hindering the development of MSM. In instant imaging tasks, the computational resources of ordinary nodes employed for imaging are often limited. In this article, we consider a single-point microtremor array network with time-varying wireless channels and stochastic imaging task data arrivals in sequential time frames. In particular, we aim to design an online computation offloading algorithm to maximize the network data processing capability and optimize service quality subject to the long-term data queue stability and average power constraints. We formulate the problem as a the minimum delay problem that jointly determines the binary offloading and system resource allocation decisions in sequential time frames. To address the coupling in the decisions of different time frames, we propose a novel framework named LyECCO that combines the Lyapunov optimization and energy consumption optimization, solve the binary offloading problems with very low computational complexity. Simulation results show the feasibility of the LyECCO, which achieves optimal computation performance while stabilizing all queues in the system.","PeriodicalId":56268,"journal":{"name":"IEEE Transactions on Signal and Information Processing over Networks","volume":"10 ","pages":"83-93"},"PeriodicalIF":3.2,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139654439","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

Hybrid-Triggered Output Feedback Containment Control for Multi-Agent Systems With Missing Measurements 具有缺失测量的多代理系统的混合触发输出反馈遏制控制

IF 3.2 3区计算机科学

IEEE Transactions on Signal and Information Processing over Networks Pub Date : 2024-01-18 DOI: 10.1109/TSIPN.2024.3355747

Arumugam Parivallal;Sangwoon Yun;Yoon Mo Jung

引用次数: 0