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Optimal DDoS Attack Strategy for Cyber–Physical Systems: A Multiattacker–Defender Game IEEE Syst. J. (IF 4.4) Pub Date : 2024-04-16 Hao Zhang, Jie Yao, Zhuping Wang, Sheng Gao, Huaicheng Yan
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Security-Reliability Analysis for Adaptive Semi-Grant-Free Transmissions IEEE Syst. J. (IF 4.4) Pub Date : 2024-04-15 Long Ma, Yuan Zhang
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Completely Distributed Secure Consensus for Multiagent Systems With a General Directed Graph Under Interaction Link Attacks IEEE Syst. J. (IF 4.4) Pub Date : 2024-04-15 Miao Zhao, Jianxiang Xi, Le Wang, Kehan Xia, Yuanshi Zheng
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GDOP-Based Low-Complexity LEO Satellite Subset Selection for Positioning IEEE Syst. J. (IF 4.4) Pub Date : 2024-04-12 Kyeongjun Ko, M. Humayun Kabir, Jungtai Kim, Wonjae Shin
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A Robust Demand Regulation Strategy for DERs in a Single-Controllable Active Distribution Network IEEE Syst. J. (IF 4.4) Pub Date : 2024-04-10 Shah Fahad, Arman Goudarzi, Rui Bo, Muhammad Waseem, Rashid Al-Ammari, Atif Iqbal
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Efficient and Flexible Component Placement for Serverless Computing IEEE Syst. J. (IF 4.4) Pub Date : 2024-04-09 Shouxi Luo, Ke Li, Huanlai Xing, Pingzhi Fan
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Secure Communication in UAV–RIS-Empowered Multiuser Networks: Joint Beamforming, Phase Shift, and UAV Trajectory Optimization IEEE Syst. J. (IF 4.4) Pub Date : 2024-04-08 Abuzar B. M. Adam, Mohamed Amine Ouamri, Xiaoyu Wan, Mohammed Saleh Ali Muthanna, Reem Alkanhel, Ammar Muthanna, Xingwang Li
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Sampled-Data Consensus Protocol for Multiagent Systems Subject to Random Intermittent Actuator Faults IEEE Syst. J. (IF 4.4) Pub Date : 2024-04-02 Ziheng Shi, Wencheng Zou, Jian Guo
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Uplink–Downlink Cochannel Interference Cancellation in RIS-Aided Full-Duplex Networks IEEE Syst. J. (IF 4.4) Pub Date : 2024-04-02 Radwa Sultan, Ahmed Shamseldeen
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Distributed Set-Membership Estimation Over Sensor Networks via an Event-Driven Dynamic Quantization Scheme IEEE Syst. J. (IF 4.4) Pub Date : 2024-04-02 Yuhan Xie, Sanbo Ding, Yanhui Jing, Xiangpeng Xie
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Probability-Based Stochastic Stealthy Attacks in Cyber-Physical Systems IEEE Syst. J. (IF 4.4) Pub Date : 2024-04-02 Dan Ye, Xiaoke Liu, Pengyu Li
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Adaptive Feedback-Aided Hybrid Random Access for mURLLC Service Over Cell-Free Networks IEEE Syst. J. (IF 4.4) Pub Date : 2024-04-02 Jie Wang, Jiamin Li, Pengcheng Zhu, Dongming Wang, Bin Sheng, Xiaohu You
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Practical Implementation of RIS-Aided Spectrum Sensing: A Deep-Learning-Based Solution IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-27 Sefa Kayraklik, Ibrahim Yildirim, Ertugrul Basar, Ibrahim Hokelek, Ali Gorcin
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Decentralized Energy Management of Multiagent Distribution Systems Considering the Grid Reliability and Agent Misbehavior IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-22 Farshid Aghamohammadi, Ali Abbaspour, Hossein Saber, Sajjad Fattaheian-Dehkordi, Matti Lehtonen
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Framing Effect in Vertex Cover of Networks Under Prospect Theory IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-21 Jie Chen, Changlei Zhan, Ke Xu, Rongpei Zhou
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Fixed-Time Hierarchical Distributed Control for Flexible Thermostatically Controlled Loads IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-18 Zilong Mi, Zhengmin Kong, Tao Huang, Peng Shi, Zhenwei Yu, Li Ding
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ELISE: A Reinforcement Learning Framework to Optimize the Slotframe Size of the TSCH Protocol in IoT Networks IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-18 F. Fernando Jurado-Lasso, Mohammadreza Barzegaran, J. F. Jurado, Xenofon Fafoutis
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Learning-Based Virtual Inertia Control of an Islanded Microgrid With High Participation of Renewable Energy Resources IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-18 Mohammad Hossein Norouzi, Arman Oshnoei, Behnam Mohammadi-Ivatloo, Mehdi Abapour
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Editorial IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-18 Amir G. Aghdam
We Start the first edition of the journal in 2024 with our renewed commitment to publishing high-quality papers on complex systems and system of systems. Thanks to its page increase, the elimination of the backlog has become a major improvement in the past few years, hence the reduced publication time following the acceptance of papers. The flow of the publications has now reached a steady cadence
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A Novel Observer-Centric Approach for Detecting Faults in Islanded AC Microgrids With Uncertainties IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-12 Gabriel Intriago, Andres Intriago, Charalambos Konstantinou, Yu Zhang
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Computational Secure Physical Layer Algorithm for MIMO Wireless Systems IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-06 Raed Mesleh, Sahel Alouneh, Omar Hiari
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ECC-Based Certificateless Aggregate Signcryption Scheme in Cyber-Physical Power Systems IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-05 Xue Li, Renqing Zhu, Dajun Du, Cheng Jiang, Zhe Zhou
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Output Consensus of Heterogeneous Multiagent Systems With Mismatched Uncertainties and Measurement Noises: An ADRC Approach IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-04 Mengling Li, Ze-Hao Wu, Feiqi Deng, Zhi-Liang Zhao
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Reconfigurable Model Predictive Control for Large Scale Distributed Systems IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-04 Jun Chen, Lei Zhang, Weinan Gao
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Efficient Fuzzy-Based 3-D Flying Base Station Positioning and Trajectory for Emergency Management in 5G and Beyond Cellular Networks IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-01 Mohammad Javad Sobouti, Haitham Y. Adarbah, Afshin Alaghehband, Hamid Chitsaz, Amirhossein Mohajerzadeh, Mehdi Sookhak, Seyed Amin Hosseini Seno, Abedin Vahedian, Fatemeh Afghah
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Distributed Resilient Event-Triggered Control for Power Quality Improvement in Grid-Tied Microgrid Under Denial-of-Service Attack IEEE Syst. J. (IF 4.4) Pub Date : 2024-03-01 Shengxuan Weng, Dong Yue, Jianbo Chen, Chunxia Dou
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Secure Communications via Active IRS Assisted SWIPT NOMA Networks IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-29 Qi Zhai, Limeng Dong, Yong Li, Wei Cheng
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Centralized Versus Distributed Operation in Cell-Free Massive MIMO With Hardware Impairments and Prior Information IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-28 Ning Li, Pingzhi Fan
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Opportunistic Retransmissions: A Novel Distributed Adaptive Algorithm for NR C-V2X Mode 2 IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-27 Collin Brady, Sumit Roy
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Distributed Energy Management Method With EEOI Limitation for the Ship-Integrated Energy System IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-26 Yuxin Zhang, Yang Xiao, Fei Teng, Tieshan Li
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Fixed-Time Consensus Algorithm for Heterogeneous Multiagent Systems With Switching Topology IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-26 Xingxing Hua, Xin Dai, Shaoxin Sun, Yue Sun
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Resilience-Oriented Operation of Integrated Electricity-Natural Gas Systems Using Hydrogen Enriched Compressed Natural Gas IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-19 Ran Zhu, Hongzhe Liu, Wenwu Yu, Wei Gu, Li Sun
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IRS-Assisted Coordinated Direct and Multiantenna Relay Transmission for MIMO SWIPT Systems IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-15 Ngo Hoang Tu, Kyungchun Lee
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Cyberattack Detection for a Class of Nonlinear Multiagent Systems Using Set-Membership Fuzzy Filtering IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-13 Mahshid Rahimifard, Amir M. Moradi Sizkouhi, Rastko R. Selmic
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On the Performance of Cooperative IoT Using NOMA With Indoor–Outdoor Device Deployment IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-12 Adel Alqahtani, Emad Alsusa, Arafat Al-Dweik
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ABP: Attribute-Based Broadcast Proxy Re-Encryption With Coalitional Game Theory IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-09 Sumana Maiti, Sudip Misra, Ayan Mondal
This article proposes attribute-based broadcast proxy (ABP) re-encryption with coalitional game theory—a scheme to share encrypted cloud data with Internet of Things (IoT) devices. The scheme reduces the decryption costs on the receiver's side. In the case of sharing data with a subgroup of IoT devices, i.e., identities, where attributes satisfy a particular access policy, and the cardinality of IoT
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Deep Learning Based Joint Hybrid Precoding and Combining Design for mmWave MIMO Systems IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-08 Fulai Liu, Xiaoyu Li, Xianghuan Yang, Huiyang Shi, Baozhu Shi, Ruiyan Du
To maximally enhance the hybrid precoding performance, an innovative deep learning-based optimization algorithm is given for a multiuser fully connected (MUFC) structure in this article. First, a joint optimization framework based on convolutional neural network (CNN) is suggested, namely, JOCNN, which can synchronously optimize the hybrid precoder and combiner. In the JOCNN, analog precoding neural
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Event-Based Fixed-Time Consensus Tracking for Constrained Networked Euler–Lagrange Systems IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-06 He Li, Cheng-Lin Liu, Yang-Yang Chen, Ya Zhang
This article delves into the challenge of fixed-time consensus tracking (FtCT) for networked Euler–Lagrange systems with customized time constraints (CTCs), especially in the presence of restricted communication and computational capabilities. In the face of intermittent and unidirectional communication scenarios, an event-based distributed fixed-time observer is designed, specifically ensuring the
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Resilient Recursive Filter Design for Complex Networks With Event-Triggering Random Access Scheme and Random Coupling Strengths IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-06 Lijuan Zha, Jinzhao Miao, Jinliang Liu, Xiangpeng Xie, Engang Tian
In this article, a recursive filter (RF) is designed for randomly coupled complex networks (CNs) subject to deception attacks under limited network bandwidth. It is assumed that the coupling strengths between nodes conform to a uniform distribution that is mutually independent. A hybrid scheduling scheme including the event-triggering scheme and the RA protocol is developed to alleviate the burden
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Data-Efficient Deep Reinforcement Learning-Based Optimal Generation Control in DC Microgrids IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-05 Zhen Fan, Wei Zhang, Wenxin Liu
Because of their simplicity and great energy-utilizing efficiency, dc microgrids are gaining popularity as an attractive option for the optimal operation of numerous distributed energy resources. The optimal power flow issue's nonlinearity and nonconvexity make it difficult to apply and develop the conventional control approach directly. With the development of machine learning in recent years, deep
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Nonsmooth Distributed Resource Allocation Over Second-Order Nonlinear Multiagent Systems IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-05 Xiasheng Shi, Yanxu Su, Chaoxu Mu, Changyin Sun
The rapid development of cyber-physical systems technique has promoted the development of autonomous systems. To perform the distributed task autonomously, this study delves into the problem of distributed resource allocation over second-order multiple autonomous physical systems. It aims to minimize the global cost function while allocating plenty of resources to finite distributed second-order agents
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Multiobjective Optimal Power Flow for Distribution Networks Utilizing a Novel Heuristic Algorithm—Grey Wolf Equilibrium Optimizer IEEE Syst. J. (IF 4.4) Pub Date : 2024-02-02 Wei Liu, Zhenhuan Ding, Huaying Zhang, Mingxing Zhu
This article presents an approach to address the drawback of stagnation in the local optimum and poor diversity of the Pareto front exhibited in existing heuristic algorithms on optimal power flow problem. We propose an improved grey wolf equilibrium optimizer (GWEO) that integrates the search mechanisms of grey wolf optimization (GWO) and equilibrium optimizer (EO). A disturbance component of EO involves
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Multiplex Characteristics and Vulnerability Assessment of the Global Electric Vehicle Lithium-Ion Battery Supply Chain Network: A Focal Firm-Specific Analysis IEEE Syst. J. (IF 4.4) Pub Date : 2024-01-29 Huanyu Ren, Jianbang Du, Chao Wang, Zhenglong Li, Xiongping Yue
The production and sales of electric vehicle lithium-ion batteries (EV LIB) have experienced rapid growth in the past decade, resulting in an extensive and intricate supply chain network (SCN). The SCNs orchestrated by different focal firms are interdependent due to the joint suppliers and customers. This interdependence, coupled with geographical segmentation, introduces vulnerability to the global
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Intelligent Real-Time Utilization of Hybrid Energy Resources for Cost Optimization in Smart Microgrids IEEE Syst. J. (IF 4.4) Pub Date : 2024-01-26 Pranay Kumar Saha, Nilotpal Chakraborty, Arijit Mondal, Samrat Mondal
With ever-depleting fossil fuels and significant increase in the carbon footprint worldwide, efficient utilization of renewable energy sources plays an important role. Installation of solar rooftops and photovoltaic panels is getting a broader response, even in residential and commercial buildings. However, at the same time, it is of paramount importance to manage the appliances in these buildings
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Network Deployment for ATG Communications: A Cell-Free Approach Under the Hybrid Satellite-Terrestrial Network Architecture IEEE Syst. J. (IF 4.4) Pub Date : 2024-01-25 Qinzhao Zhang, Jue Wang, Ruifeng Gao, Yanmin Wang, Wei Feng
Due to the increasing demand for Internet access on aircraft, air-to-ground (ATG) communications have recently received extensive attention. Determining the locations of ATG base stations (BSs) is an important guarantee for efficient ATG communications. To this end, we consider an aircraft-centric ATG network where the aircraft is served by its adjacent ATG BSs. For this scenario, we formulate an optimization
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Zero-Sum Game-Based Decentralized Optimal Control for Saturated Nonlinear Interconnected Systems via a Data and Event Driven Approach IEEE Syst. J. (IF 4.4) Pub Date : 2024-01-25 Shihui Liu, Ben Niu, Ning Xu, Xudong Zhao
This article proposes a decentralized optimal zero-sum game method for nonlinear interconnected systems with asymmetric input constraints and external disturbances based on a data- and event-driven approach. First, by assigning a particular cost function for each isolated subsystem with disturbances, the decentralized control problem is equivalently converted into finding a sequence of optimal zero-sum
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CADFA: A Clock Skew-Based Active Device Fingerprint Authentication Scheme for Class-1 IoT Devices IEEE Syst. J. (IF 4.4) Pub Date : 2024-01-25 Chao Shang, Jin Cao, Tong Zhu, Yinghui Zhang, Ben Niu, Hui Li
The Class-1 Internet of Things (IoT) device is difficult to protect because of the lack of minimal hardware and extension support. Researchers have proposed several remote attestation schemes to protect IoT devices. However, hardware-assisted remote attestation methods require the support of minimal hardware, which is not suitable for Class-1 IoT devices. And regular software-based methods can only
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Multiagent Deep Reinforcement Learning Based Incentive Mechanism for Mobile Crowdsensing in Intelligent Transportation Systems IEEE Syst. J. (IF 4.4) Pub Date : 2024-01-25 Mengge Li, Miao Ma, Liang Wang, Zhao Pei, Jie Ren, Bo Yang
Mobile crowdsensing in intelligent transportation systems is a new data acquisition mode that utilizes vehicles to sense a changing traffic environment, where incentive mechanisms play a vital role in motivating vehicles to participate. Nevertheless, existing incentive mechanisms do not simultaneously consider enhancing the efficiency of task allocation, maximizing the benefits of the entire system
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Improved Stealthy False Data Injection Attacks in Networked Control Systems IEEE Syst. J. (IF 4.4) Pub Date : 2024-01-25 Chuanyi Ning, Zhiyu Xi
This article addresses the issues of deception attacks design against state estimations and some key states in networked control systems (NCSs). Considering that the traditional stealthy attacks may lose their stealthiness in the presence of detectors with accumulative nature, the concept of improved stealthy attacks has been proposed. With the improved stealthy attack, estimation error will exhibit
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Parameter Design of DCMG System Under Large Signal Stability and Static Voltage Constraints IEEE Syst. J. (IF 4.4) Pub Date : 2024-01-25 Zifan Zhang, Xiangyu Yang, Shiwei Zhao, Danlan Wu, Mengzhen Gao, Zhidong Wang
DC microgrid (DCMG) is characterized by a high degree of power electronics, low system inertia, and CPL (CPL) with a negative damping feature. Its system-level transient stability is of great concern. The stability of a DCMG system is affected by many factors, such as component parameters, load types, converter control methods, etc. To analyze the system-level stability of the DCMG, the constraints
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Performance Analysis of an In-Band Full-Duplex MAC Protocol for Future Wireless Networks IEEE Syst. J. (IF 4.4) Pub Date : 2024-01-19 Wardah Sarmad, Syed Maaz Shahid, Ezhan Karasan, Sungoh Kwon
In this article, we extend IEEE 802.11 from carrier-sense multiple access with collision avoidance to carrier-sense multiple access with collision detection (CSMA/CD) for in-band full-duplex (IBFD) wireless systems by utilizing the capabilities of full-duplex. In IBFD communications, nodes can effectively apply CSMA/CD but this may result in false alarms and missed collision detection due to residual
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A Novel Self-Supervised Learning-Based Anomalous Node Detection Method Based on an Autoencoder for Wireless Sensor Networks IEEE Syst. J. (IF 4.4) Pub Date : 2024-01-19 Miao Ye, Qinghao Zhang, Xingsi Xue, Yong Wang, Qiuxiang Jiang, Hongbing Qiu
To address the issue that existing wireless sensor network (WSN)-based anomaly detection methods only consider and analyze temporal features, in this article, a self-supervised learning-based anomalous node detection method based on an autoencoder is designed. This method integrates the extraction of temporal WSN data flow feature, spatial position feature, and intermodal WSN correlation feature into
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Optimal Position Design for Unmanned Aerial Vehicle Relay-Assisted Covert Communication Based on Active Countermeasures IEEE Syst. J. (IF 4.4) Pub Date : 2024-01-19 Yunxiang Li, Wen Tian, Xiaopeng Ji, Guangjie Liu, Yuewei Dai
Covert communication is one of the most promising ways in 6G due to its high concealment, diverse forms, and strong compatibility. In traditional covert communication, high-gain antennas, signal amplifiers, and multipath transmission methods are commonly used to expand communication distance. However, the current research on covert communication is mostly limited to fixed receivers or fixed detection
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Throughput Fairness Optimization for Cluster-Based Collaboration IEEE Syst. J. (IF 4.4) Pub Date : 2024-01-19 Lina Yuan, Suzhi Bi, Xiaohui Lin, Hui Wang
This article considers a cognitive wireless-powered communication network (WPCN) (C-WPCN), which overlays to a primary peer-to-peer communication link and constitutes a hybrid access point (HAP) with multiple antennas. The HAP first transmits wireless power to an array of wireless devices (WDs) with low-power consumption and then receives sensing data from these WDs. In particular, user cooperation