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12th International Conference on Communications and Networking in China, CHINACOM 2017

作者： Pan, Bin Wu, Hao State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China Beijing Key Laboratory of Intelligent Traffic Data Safety and Privacy Protection Technology Beijing Jiaotong University Beijing100044 China Beijing Engineering Research Center of High-Speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9783319781389

Conditional connectivity is important for the design of the upper layer communication protocol and the network deployment in different scenarios. This paper analyzes the performance of conditional connectivity with the network topology change by establishing the model of inter-vehicle communication. The paper aims at the two-lane highway scenario for vehicular ad hoc networks (VANETs), considering the factors of communication range, vehicle flow characteristics and moving speed. The main conditional connectivity performance index is the conditional connectivity probability. Based on the simulation, the correctness of the theoretical analysis is verified. We also make an explanation of the simulation results. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.

关键词： Vehicular ad hoc networks

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Delivery delay analysis for large-size multimedia messages in V2I/V2V networks 7

Delivery delay analysis for large-size multimedia messages i...

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7th IET International Conference on Wireless, Mobile and Multimedia Networks, ICWMMN 2017

作者： Pan, Bin Wu, Hao Ding, Hongwei State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China Beijing Key laboratory of intelligent traffic data safety and privacy protection technology Beijing Jiaotong University Beijing100044 China Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9781785615153

This paper analyzes the large-size messages delivery delay in hybrid Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) networks. An analytical model is developed to describe the relationship between the average delivery delay and the distance between neighbor Roadside Units (RSUs) deployed along a road. The effect of message size has been also analysed. The derived model considers a straight highway scenario where RSUs are deployed at the same mter-RSU distance without any direct connection and vehicles are sparsely distributed on the road. We also take into account the dissemination strategy, aiming to minimize the delivery delay. The effectiveness of the derived analytical model is verified through simulation results. The analytical model can also provide important insights for the deployment of RSUs and related reference for the onboard multimedia messages selected to share with others. © Institution of Engineering and technology. All rights reserved.

关键词： Vehicular ad hoc networks

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Train delays prediction based on feature selection and random forest

Train delays prediction based on feature selection and rando...

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International Conference on intelligent Transportation

作者： Yuanyuan Ji Wei Zheng Hairong Dong Pengfei Gao National Research Center of Railway Safety Assessment Beijing Jiaotong University Beijing China National Research Centre of Railway Safety Assessment and the Beijing Key Laboratory of Intelligent Traffic Data Security and Privacy Protection Technology Beijing Jiaotong University Beijing State Key Lab of Rail Traffic Control & Safety Beijing Jiaotong University Beijing

ISBN: (数字)9781728141497

ISBN: (纸本)9781728141503

Although trains are more efficient and convenient than other transportation, delays often occur. Accurately predicting the delay time of trains is of great significance to both dispatchers and passengers. The method for predicting the arrival delay time of trains is based on feature selection algorithm and machine learning. First, we collect train delay cases to sort out the delay factors. In addition to internal factors, external factors such as weather and signal failure are also considered. Then, an improved max-relevance and min-redundancy method (mRMR) is used for feature selection. Finally, we apply the method of weighted random forest (wRF) to predict the delay time. The results demonstrate that the feature selection algorithm has a prominent effect on improving the accuracy of the model, and the mean square error based on the weighted random forest has an improvement potential in forecast precision.

关键词： Delays Feature extraction Predictive models Prediction algorithms Rail transportation Correlation Random forests

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A Dynamic Fault Tree Based CBTC Onboard ATP System safety Analysis Method*

A Dynamic Fault Tree Based CBTC Onboard ATP System Safety An...

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International Conference on intelligent Transportation

作者： Pengfei Gao Chao Liu Hairong Dong Wei Zheng National Research Centre of Railway Safety Assessment and the Beijing Key Laboratory of Intelligent Traffic Data Security and Privacy Protection Technology Beijing Jiaotong University Beijing China National Research Centre of Railway Safety Assessment Beijing Jiaotong University Beijing China State Key Lab of Rail Traffic Control & Safety Beijing Jiaotong University Beijing China

ISBN: (数字)9781728141497

ISBN: (纸本)9781728141503

To obtain refined safety requirements during system architecture design stage, the traditional static fault tree analysis mothed is widely used to analyse the logical relationship between basic hazardous events leading to system hazards in railway signal system, and to identify the weak and key equipment of the system. In order to accurately characterize the dynamic behaviours of the system and improve the accuracy and credibility of analysis results, a dynamic fault tree analysis mothed of railway signal system based on failure propagation modelling was proposed. According to failure logic modelling of dynamic failure behaviours, conforming to signal system function design, component failure model was established within SimFIA platform, and fault trees of system hazards were attained by model simulation. The result of Communication-Based Train Control (CBTC) System on-board equipment case study shows that the fault tree of complex system function are generated by the dynamic fault tree analysis mothed based on Failure Propagation and Transformation Notation (FPTN) modelling, which guaranteed the safety analysis outcomes was accurate and credible.

关键词： safety Analytical models System analysis and design Fault trees Rail transportation Discrete Fourier transforms Systems architecture

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Factors correlation mining on railway accidents using association rule learning algorithm

Factors correlation mining on railway accidents using associ...

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International Conference on intelligent Transportation

作者： Yakun Wang Wei Zheng Hairong Dong Pengfei Gao National Research Center of Railway Safety Assessment Beijing Jiaotong University Beijing China National Research Centre of Railway Safety Assessment and the Beijing Key Laboratory of Intelligent Traffic Data Security and Privacy Protection Technology Beijing Jiaotong University Beijing China State Key Lab of Rail Traffic Control & Safety Beijing Jiaotong University Beijing China

ISBN: (数字)9781728141497

ISBN: (纸本)9781728141503

Although much research work for the operation safety has been taken in the railway domain, some accidents still occur because past experiences of accident analysis were not fully accumulated for safety improvement. This study aims to identify potential causal relationships among the many factors playing a role in railway accidents. A new interestingness measure, Confidence_interestingness ("C_" Inter) and corresponding improved algorithm, Positive and Negative Association Rules Algorithm based on "C_" Inter (PNARA_CI) were put forward in our study. Compared with traditional association rule mining algorithms, the PNARA_CI does not generate candidate association rules by means of frequent itemsets, but by the combination between every two accident factors, which can mine the positive and negative association rules with practical value to the maximum. And they were applied to railway accidents data to explore the association rules of the causal factors in the case study. The effectiveness of the algorithm was verified.

关键词： Railway accidents data mining Rail transportation Itemsets safety databases Task analysis

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Fog-assisted multi-user swipt networks: Local computing or offloading

arXiv

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arXiv 2019年

作者： Zheng, Haina Xiong, Ke Fan, Pingyi Zhong, Zhangdui Letaief, Khaled Ben School of Computer and Information Technology Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China Beijing Key Laboratory of Security and Privacy in Intelligent Transportation Beijing Jiaotong University Beijing100044 China National Laboratory for Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing100084 China State Key Lab of Rail Traffic Control and Safety Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing100044 China Clear Water Bay Hong Kong

This paper investigates a fog computing-assisted multi-user simultaneous wireless information and power transfer (SWIPT) network, where multiple sensors with power splitting (PS) receiver architectures receive information and harvest energy from a hybrid access point (HAP), and then process the received data by using local computing mode or fog offloading mode. For such a system, an optimization problem is formulated to minimize the sensors' required energy while guaranteeing their required information transmissions and processing rates by jointly optimizing the multi-user scheduling, the time assignment, the sensors' transmit powers and the PS ratios. Since the problem is a mixed integer programming (MIP) problem and cannot be solved with existing solution methods, we solve it by applying problem decomposition, variable substitutions and theoretical analysis. For a scheduled sensor, the closed-form and semi-closedform solutions to achieve its minimal required energy are derived, and then an efficient multi-user scheduling scheme is presented, which can achieve the suboptimal user scheduling with low computational complexity. Numerical results demonstrate our obtained theoretical results, which show that for each sensor, when it is located close to the HAP or the fog server (FS), the fog offloading mode is the better choice;otherwise, the local computing mode should be selected. The system performances in a frame-by-frame manner are also simulated, which show that using the energy stored in the batteries and that harvested from the signals transmitted by previous scheduled sensors can further decrease the total required energy of the sensors. Copyright © 2019, The Authors. All rights reserved.

关键词： Energy harvesting

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Blockchain-Based Incentive Announcement System for Internet of Vehicles

Blockchain-Based Incentive Announcement System for Internet ...

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IEEE International Conference on Big data and Cloud Computing (BdCloud)

作者： Yang Yang Jialiang Chen Xianghan Zheng Ximeng Liu Wenzhong Guo Hairong Lv College of Mathematics and Computer Science Fuzhou University Fuzhou China Guangxi Key Laboratory of Cryptography and Information Security Guangnxi China Guangdong Provincial Key Laboratory of Data Security and Privacy Protection Guangzhou China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University) Fuzhou China Ministry of Education Key Laboratory of Bioinformatics Bioinformatics Division and Center for Synthetic and Systems Biology Beijing National Research Center for Information Science and TechnologyDepartment of Automation Tsinghua University Beijing China

ISBN: (数字)9781728143286

ISBN: (纸本)9781728143293

With the rapid development of computation and communication technologies, the traditional vehicle ad hoc networks (VANETs) are changing to Internet of vehicle (IoV). Vehicular announcement networks in IoV have been widely used in the communication of vehicles. Generally, we need to solve two problems while establishing a vehicular announcement system. First, we need to protect user's privacy when broadcasting the message. Second, participants usually lack the enthusiasm to reply to the announcement. To solve these two problems, we propose a novel blockchain-based incentive announcement system that not only allows participants to anonymously announce their message on the blockchain in a non-trusted environment, but also motivates witnesses to respond to the request of the traffic information with incentive mechanism. Meanwhile, traffic messages and signatures in our system are tamper-resistant, which are recorded on the blockchain. According to the security and performance analysis, it shows that our system is privacy-preserving and efficient in computation cost.

关键词： Blockchain privacy Smart contracts Authentication Internet Remuneration Hash functions

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Unauthorized UAV Countermeasure for Low-Altitude Economy: Joint Communications and Jamming based on MIMO Cellular Systems

arXiv

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arXiv 2024年

作者： Li, Zhuoran Gao, Zhen Wang, Kuiyu Mei, Yikun Zhu, Chunli Chen, Lei Wu, Xiaomei Niyato, Dusit Beijing100081 China BIT Zhuhai519088 China The MIT Key Laboratory of Complex-Field Intelligent Sensing BIT Beijing100081 China Jinan250307 China Jiaxing314019 China The State Key Laboratory of CNS ATM & State Key Laboratory of Explosion Science and Safety Protection Beijing Institute of Technology Beijing100081 China China Tower Corporation Limited No.9 Don-gran North Street Haidian District Beijing100089 China The College of Computing and Data Science Nanyang Technological University Singapore639798 Singapore The School of Information and Electronics Beijing Institute of Technology Beijing100081 China The Advanced Research Institue of Multidisciplinary Sciences Beijing Institute of Technology Beijing100081 China

To ensure the thriving development of low-altitude economy, countering unauthorized unmanned aerial vehicles (UAVs) is an essential task. The existing widely deployed base stations hold great potential for joint communication and jamming. In light of this, this paper investigates the joint design of beamforming to simultaneously support communication with legitimate users and countermeasure against unauthorized UAVs based on dual-functional multiple-input multiple-output (MIMO) cellular systems. We first formulate a joint communication and jamming (JCJ) problem, relaxing it through semi-definite relaxation (SDR) to obtain a tractable semi-definite programming (SDP) problem, with SDR providing an essential step toward simplifying the complex JCJ design. Although the solution to the relaxed SDP problem cannot directly solve the original problem, it offers valuable insights for further refinement. Therefore, we design a novel constraint specifically tailored to the structure of the SDP problem, ensuring that the solution adheres to the rank-1 constraint of the original problem. Finally, we validate effectiveness of the proposed JCJ scheme through extensive simulations. Simulation codes are provided to reproduce the results in this paper: https://***/LiZhuoRan0. The results confirm that the proposed JCJ scheme can operate effectively when the total number of legitimate users and unauthorized UAVs exceeds the number of antennas. Copyright © 2024, The Authors. All rights reserved.

关键词： Jamming

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