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Minimizing Data Collection Latency for Coexisting Time-Critical Wireless Networks with Tree Topologies

IEEE Transactions on Network and Service Management 2025年

作者： Zhang, Jialin Liang, Wei Yang, Bo Shi, Huaguang Liang, Ying-Chang Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang110016 China Chinese Academy of Sciences Key Laboratory of Networked Control System Shenyang Institute of Automation Shenyang110016 China Northwest A and F University College of Information Engineering Yangling712100 China Henan University School of Artificial Intelligence Zhengzhou450046 China University of Electronic Science and Technology of China Center for Intelligent Networking and Communications Chengdu611731 China

Time-Critical Wireless Network (TCWN) is a promising communication technology that can satisfy the low latency, high reliability, and deterministic requirements of mission-critical applications. Multiple TCWNs required by various applications inevitably coexist with each other. Most existing works aim to achieve acceptable latency or consider the simplest topology (i.e., line topology). As latency requirements become more stringent, exploring the minimum data collection latency becomes an interesting problem. In this paper, the coexisting system consists of multiple tree-topology-based TCWNs. We first establish a conversion framework to convert an arbitrary tree topology into multiple analogous line topologies to reduce the analysis complexity. We then propose a Time-Critical wireless network Scheduling (TCS) algorithm to minimize the data collection latency of coexisting TCWNs. The TCS algorithm consists of two phases. In the internetwork scheduling phase, we strictly derive a general expression to characterize the practical network requirements. In the intranetwork scheduling phase, we design two levels of priority assignment algorithms to accurately characterize the critical states and resource requirements of different nodes. We conduct extensive simulations to verify the effectiveness of the TCS algorithm. The evaluation results show that the TCS algorithm can achieve minimum data collection latency in more than 99.956% cases, and the maximum difference compared to the optimal value is one time slot. © 2004-2012 IEEE.

关键词： Scheduling algorithms

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Analysis and Design of Application-Layer Rateless Codes Based on Reliability and Latency Trade-Off

Analysis and Design of Application-Layer Rateless Codes Base...

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IEEE Conference on Wireless Communications and Networking

作者： Haobo Huang Yusun Fu Junpeng Yin Ningbo Artificial Intelligence Institute Shanghai Jiao Tong University Ningbo China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

With the Internet of Things (IoT) playing an increasingly crucial role in connecting diverse devices, applications have different requirements for communication and various evaluation metrics have emerged, such as Age of Information (AoI) and estimation error. Considering the fundamental trade-off between reliability and latency of the communication system, the relationship among reliability, latency, AoI and estimation error is complex. This paper proposes a remote state observation system with application-layer rateless codes to explore above relationships, addressing how to design the system for optimal performance based on varying requirements by adjusting coding parameters. By emphasizing flexible and adaptable coding strategies, we aim to convey the idea that the error-correction codes can be designed to optimize the communication system for diverse practical metrics. It is different from the traditional designs that focus on approaching the Shannon limit.

关键词： Measurement Estimation error Correlation Communication systems Reliability engineering Information age Error correction codes Internet of Things Channel coding State estimation

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Practical Applicability of PLA for Industrial Wireless Networks: Gaps and Directions

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IEEE Network 2025年

作者： Liang, Wei Wei, Fuyou Wang, Qi Zhan, Ming Wang, Ke Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang110016 China Chinese Academy of Sciences Key Laboratory of Networked Control System Shenyang Institute of Automation Shenyang110016 China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China Shandong Normal University Jinan250014 China Taizhou University School of Electronics and Information Engineering Zhejiang Taizhou China

The rapid transformation of Industrial Cyber-Physical system (ICPS) has introduced significant cyber security challenges, particularly in the context of ICPS. Wireless networks are a critical component of these systems, but their open nature makes them vulnerable to security threats. Physical Layer Authentication (PLA) algorithms based on Channel State Information (CSI) are essential complements to existing security technologies in wireless networks. However, their practical application faces challenges such as restricted sampling rates and uneven sampling interval, which result in low-precision CSI, significant random phase offsets, and signal distortion. This study aims to explore the feasibility of deploying and applying existing representative algorithms on industrial wireless commercial devices. According to characteristics of authentication algorithms and the adopted authentication features, we selected five of the latest physical layer authentication algorithms including supervised, semi-supervised, and unsupervised algorithms and deployed them on commercial devices that comply with the WIA-FA standard. We conducted systematic experiments focusing on the motion parameters of devices, the CSI data sampling frequency, the interference caused by worker movement, the surface materials of the devices, and the types of attacks. This study explores the ability of these algorithms to resist attacks and environmental interference in commercial devices and industrial scenarios. Extensive experimental data were collected, and the results indicate that existing authentication algorithms still need improvement to meet the requirements of industrial applications. The experiment findings and the summarized application challenges of these algorithms provide significant guidance for future research and practical industrial implementations. © 1986-2012 IEEE.

关键词： Authentication

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Air Pollution Monitoring By Integrating Local and Global Information in Self-Adaptive Multiscale Transform Domain

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IEEE Transactions on Multimedia 2025年

作者： Gu, Ke Liu, Yuchen Liu, Hongyan Liu, Bo Qiao, Junfei Lin, Weisi Zhang, Wenjun Beijing University of Technology School of Information Science and Technology Engineering Research Center of Intelligent Perception and Autonomous Control of Ministry of Education Beijing Laboratory of Smart Environmental Protection Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing Artificial Intelligence Institute Beijing100124 China Massey University School of Mathematical and Computational Sciences New Zealand Nanyang Technological University College of Computing and Data Science Singapore Shanghai Jiao Tong University Institute of Image Communication and Information Processing Shanghai China

As the deadliest form of pollution, air pollution had a prolonged severe damage to the human health and life safety of nearly 99% of the world's population. Facing to the problem that billions of tons of pollutants discharged into the air per year by industrial activities, this paper proposed a novel image-based air pollution monitor (IAPM) by incorporating local and global information in the self-adaptive multiscale transform domain, so as to achieve the timely and effective leakage detection of typical air pollutants from a single image. To be specific, this paper first developed a screen-shaped module according to two significant findings in visual neuroscience, which include the high sensitivity of human eyes to horizontal and vertical stimuli and the center-surround inhibition, by designing and fusing the square module, horizontal strip module and vertical strip module parallelly for simulating the behaviour of human eyes to extract local features. Second, the learnable weights and proportional mapping were applied to incorporate the screen-shaped module and lightweight vision transformer as backbone, towards more richly exploiting and fusing local and global information just as the way a brain perceives external stimuli. Third, a new self-adaptive multiscale transform domain method was devised based on two motivations from the visual characteristics of multiscale perception and the brain characteristics of self-adaptive domain transform to modify the backbone by using the operations of pooling and pointwise convolution. Extensive experiments implemented on the datasets of carbon particulate matters and ethylene leakage confirmed the superior monitoring performance of the proposed IAPM model beyond the state-of-the-art (SOTA) peers by an accuracy gain of about 4%. Furthermore, the proposed IAPM model only required 0.089 GFLOPs and 0.15 million model parameters, remarkably outperforming SOTA competitors in computational efficiency and storage resources. © 1999-2

关键词： Information leakage

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Distributed Real-time State Estimation for Combined Heat and Power systems

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Journal of Modern Power systems and Clean Energy 2021年第2期9卷 316-327页

作者： Tingting Zhang Wen Zhang Qi Zhao Yaxin Du Jian Chen Junbo Zhao the Key Laboratory of Power System Intelligent Dispatch and Control Ministry of EducationShandong UniversityJinan 250061China the Department of Electrical and Computer Engineering Mississippi State UniversityStarkvilleMS 39762USA

This paper proposes a distributed real-time state estimation(RTSE)method for the combined heat and power systems(CHPSs).First,a difference-based model for the heat system is established considering the dynamics of heat *** heat system model is further used along with the power system steady-state model for holistic CHPS state estimation.A cubature Kalman filter(CKF)-based RTSE is developed to deal with the system nonlinearity while integrating both the historical and present measurement ***,a multi-timescale asynchronous distributed computation scheme is designed to enhance the scalability of the proposed method for largescale *** distributed implementation requires only a small amount of information exchange and thus protects the privacy of different energy *** carried out on two CHPSs show that the proposed method can significantly improve the estimation efficiency of CHPS without loss of accuracy compared with other existing models and methods.

关键词： Combined heat and power system(CHPS) cubature Kalman filter(CKF) heat dynamics multi-time-scale asynchronous distributed scheme real-time state estimation(RTSE)

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control Strategy of MMC Battery Energy Storage system under Asymmetrical Grid Voltage Condition

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Chinese Journal of Electrical Engineering 2016年第2期2卷 76-83页

作者： Lei Zhang Feng Gao Nan Li Key Lab of Power System Intelligent Dispatch and Control(Shandong University) Ministry of EducationJinan250061China

A battery energy storage system using modular multilevel converter(MMC)as the interfacing converter could have several inherent advantages when compared with battery energy storage systems based on two-level inverter or cascaded H-bridge *** can manage the state-of-charges(SOCs)of all batteries to be equal to avoid the overcharge or over discharge of single *** inherent power exchange characteristics using circulating currents could increase the control flexibility and consequently improve the output quality and the internal regulation *** paper investigates the operational principle and control strategy of MMC battery energy storage system under unbalanced grid voltage condition,where key issues of system model and corresponding control methods are very different from those under the normal grid voltage *** injected de current control,SOC balancing control and circulating current control methods are fully discussed in this ***,the theoretical findings were verified through Matlab simulation and a scaled down experimental prototype.

关键词： Modular multilevel converters(MMC) battery energy storage system circulating current asymmetrical grid voltage

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A Decentralized P2P Electricity Market Model for Microgrids

A Decentralized P2P Electricity Market Model for Microgrids

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IEEE-Power-and-Energy-Society General Meeting (PESGM)

作者： Sabounchi, Moein Wei, Jin The Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781538677032

Inspired by the online peer-to-peer (P2P) goods trading that has become increasingly popular in the recent years, in this paper we propose a decentralized P2P electricity marketing mechanism for a microgrid (MG) consisting of networked prosumer (consumers with distributed generation capability) clusters by incorporating Blockchain technology and Smart Contracts (SC). Our proposed electricity marketing mechanism is a two-level hierarchical one: In the upper level, the aggregators (AGGs) cooperate with each other and in the lower level, the local PRs maximize their financial profits via P2P energy trading. This mechanisms potentially results in price of anarchy instances in which the targets of the two level players will be contradictory. To address this issue, we assume that there exists a single universal cost function for both levels of the game. In our simulations, we evaluate the performance of our proposed P2P electricity marketing mechanism in maximizing the self-sufficiency of the microgrid and minimizing the side effects of the discriminatory pricing.

关键词： P2P Electricity Market Price of Anarchy Blockchain Electricity Market Aggregator Distributed Energy Resources (DERs)

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Energy Storage Involved in Eliminating Intermittent Two-Stage Robust Optimal dispatching

Energy Storage Involved in Eliminating Intermittent Two-Stag...

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2020 IEEE/IAS Industrial and Commercial Power system Asia, I and CPS Asia 2020

作者： Ma, Yiran Han, Xueshan Yang, Ming Zhao, Bincheng Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9781728143033

As renewable energy increasingly connecting into the power grids, the regulation capacity of automatic power generation control (AGC) is gradually decreasing, which is urgent to cooperate with active equipment such as energy storage. In current, dispatch decision-making methods often ignore the intermittent effects of renewable energy. Energy storage can take advantage of its fast regulation rate to better cope with the intermittency of renewable energy based on AGC unit dispatching. Therefore, this paper proposes a two-stage robust optimization dispatching model in which energy storage participates in eliminating intermittency of renewable energy, and abstracts the track of energy storage and AGC units in control as a process between any two moments. This model can make full use of the rapid adjustment capability of energy storage and makes up for the lack of response speed of the AGC unit, improves its climbing ability to release the unit's adjustment potential, and responds to the intermittent problems of renewable energy power generation. The model is solved by column and constraint generation algorithm (C CG). The example shows that the model is more robust than the model that does not consider energy storage participates in eliminating intermittent effect and has obvious advantages in economy and efficiency. © 2020 IEEE.

关键词： Energy storage

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An Improved Variable Step Size P&O MPPT Algorithm Based on Constant Voltage and K Division Technology 3

An Improved Variable Step Size P&O MPPT Algorithm Based on C...

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Joint 2019 International Conference on Ubiquitous Power Internet of Things, UPIOT 2019 and 2019 3rd International Symposium on Green Energy and Smart Grid, SGESG 2019

作者： ZHANG Peng SUI Huibin KONG Hongmei Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University

In the literature, various techniques have been proposed to achieve the maximum output power of photovoltaic cells, but the fixed step size perturbation and observation and incremental conductance algorithm can't enhance effectively the peculiarity of the PV system, due to their slow tracking speed, big power loss and limited accuracy. An improved variable step size perturbation and observation MPPT algorithm based on the K division method is proposed. The symbol of dp/du before and after the disturbance is judged, if the two adjacent samples have the same symbol, the disturbance step size remains unchanged. On the contrary, the disturbance step size will be divided by K and become the new disturbance step size until achieving the maximum output power. The simulation establish on MATLAB/Simulink reveals that the method has fast response speed, high accuracy, low power loss, and can locate the new maximum power point quickly when environmental conditions change.

关键词： An Improved Variable Step Size P&O MPPT Algorithm Based on Constant Voltage and K Division Technology

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A Wind Power Ramp Events Detection Method Based on Improved SDA and Endpoint Correction

A Wind Power Ramp Events Detection Method Based on Improved ...

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2024 IEEE IAS Industrial and Commercial Power system Asia, I and CPS Asia 2024

作者： Shan, Shuaijie Yang, Ming Tao, Lidanlan Li, Menglin Wang, Chuanqi Yu, Yixiao Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9798350352290

To improve the wind power ramping event detection accuracy, this paper presents a method for the detection of wind power ramping events by adopting adaptive gate width parameters, trend merging and ramping event's endpoint modification. First, the unique parameter ϵ of the swinging door algorithm (SDA) is obtained by calculating the average absolute value of the difference of the initial data (AAVD), the detected SDA compression segments are screened for extreme values, and the trend segments to be measured are obtained by merging the endpoint of the compression segment with the extreme value. Second, with the bump event detection definition and trend merge rules, the set of ramping events is preliminarily determined. Finally, in accordance with the established definition of a ramp, the endpoints of each of the above sets of ramping events have been modified. The inherent defects of traditional SDA detection methods are solved, and the optimal ramping events are obtained. The results demonstrate that, in comparison to the two control detection methods, the proposed detection scheme is capable of both adaptive acquisition of the SDA's ϵ in accordance with the data characteristics and the detection of the endpoints of ramp events with high precision. © 2024 IEEE.

关键词： endpoints correction improved SDA neighbor trend segment merging ramping events detection

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