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Journal articles on the topic 'Controller Area Network (Computer network)'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 January 2023

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1

Hu, Liang, Jiejun Hu, Tao Fu, Jiyang Bao, and Feng Wang. "Asymmetric network information cache based on mobile traffic in software-defined network." Advances in Mechanical Engineering 11, no. 1 (January 2019): 168781401881989. http://dx.doi.org/10.1177/1687814018819894.

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Software-defined network is an encouraging research area that realizes updates throughout an entire network, and a wireless network is ubiquitous in an up-to-date world. The combination of these techniques, which is referred to as a wireless software-defined network, has been a significant development in numerous testbeds. The extensive use of distributed controllers that achieved elastic extension and are fault tolerant in large-scale wireless networks is hopeful. Despite their profits, they generate significant overhead in synchronizing network information. Thus, power-hungry wireless software-defined network devices limit the usage of distributed controllers in wireless networks. The patterns of storing network information have a crucial effect on controller performances, as they determine the probability of processing requests based on local data. To address this problem, we identify a better pattern for controllers to retain proper network information to balance costs in terms of both synchronous traffic and response time. We analyze the characteristics of distributed controllers and propose an overhead model of a distributed controller in a wireless software-defined network. Based on this model, we design an asymmetric network information cache to make trade-offs among different controller architectures. The asymmetric network information cache measures real-time network traffic and computes the traffic among sub-networks controlled by controller nodes. Then, the controller asymmetrically caches suitable network data to substantially busier nodes. The experimental results indicate that the asymmetric network information cache achieves a trade-off between synchronous traffic and the average response time.

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Leen, G., and D. Heffernan. "Time-triggered controller area network." Computing & Control Engineering Journal 12, no. 6 (December 1, 2001): 245–56. http://dx.doi.org/10.1049/cce:20010601.

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Makka, Shanthi, and B. B. Sagar. "Communication of Two Controller Area Network Segments through Wireless Sensor Network." International Journal of Security and Its Applications 13, no. 4 (December 31, 2019): 1–12. http://dx.doi.org/10.33832/ijsia.2019.13.4.01.

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4

Çenesİz, Nilüfer, and Murat Esin. "Controller area network (CAN) for computer integrated manufacturing systems." Journal of Intelligent Manufacturing 15, no. 4 (August 2004): 481–89. http://dx.doi.org/10.1023/b:jims.0000034111.77918.11.

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5

Farsi, M., M. Barbosa, and K. Ratcliff. "An overview of Controller Area Network." Computing & Control Engineering Journal 10, no. 3 (June 1, 1999): 113–20. http://dx.doi.org/10.1049/cce:19990304.

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6

Pedreiras, P., and L. Almeida. "EDF message scheduling on controller area network." Computing & Control Engineering Journal 13, no. 4 (August 1, 2002): 163–70. http://dx.doi.org/10.1049/cce:20020402.

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7

Izuchi, Takuya, Munetoshi Hotta, Takeo Oomichi, Shigeo Seki, and Junji Koyama. "Development of Network Plug-in Actuator." Journal of Robotics and Mechatronics 19, no. 2 (April 20, 2007): 232–42. http://dx.doi.org/10.20965/jrm.2007.p0232.

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We propose an intelligent connector (ICN) that uses a network plug-in actuator (NPA) or an intelligent connector (ICN) to reduce the number of signal and power cables and integrates an AC servomotor and motor drive with serial signal wires using a controller area Network (CAN). The ICN connects the NPA and a controller such as a personal computer and connects different networks such as the Ethernet, CAN, IEEE1394, or USB. We developed an NPA series from 5 W to 750 W and verified their functions. We also evaluated the ICN performance using the NPA. This system was installed on an “econovehicle” and its effectiveness was successfully demonstrated.

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Zhao, Zi-An, Yu Sun, Dawei Li, Jian Cui, Zhenyu Guan, and Jianwei Liu. "A Scalable Security Protocol for Intravehicular Controller Area Network." Security and Communication Networks 2021 (December 31, 2021): 1–13. http://dx.doi.org/10.1155/2021/2314520.

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Intravehicular communication relies on controller area network (CAN) protocol to deliver messages and instructions among different electronic control units (ECU). Unfortunately, inherent defects in CAN include the absence of confidentiality and integrity mechanism, enabling adversaries to launch attacks from wired or wireless interfaces. Although various CAN cryptographic protocols have been proposed for entity authentication and secure communication, the redundancy in the key establishment phase weakens their availability in large-scale CAN. In this paper, we propose a scalable security protocol suite for intravehicular networks and reduce the communication costs significantly. A new type of attack, suspension attack, is identified for the existing protocols and mitigated in our protocol by leveraging a global counter scheme. We formally verify the security properties of the proposed protocol suite through the AVISPA tool. The simulation results indicate that the communication and computation efficiency are improved in our protocol.

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UMEHARA, Daisuke, and Takeyuki SHISHIDO. "Controller Area Network and Its Reduced Wiring Technology." IEICE Transactions on Communications E102.B, no. 7 (July 1, 2019): 1248–62. http://dx.doi.org/10.1587/transcom.2018ani0004.

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Obaida, Tameem Hameed, and Hanan Abbas Salman. "A novel method to find the best path in SDN using firefly algorithm." Journal of Intelligent Systems 31, no. 1 (January 1, 2022): 902–14. http://dx.doi.org/10.1515/jisys-2022-0063.

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Abstract Over the previous three decades, the area of computer networks has progressed significantly, from traditional static networks to dynamically designed architecture. The primary purpose of software-defined networking (SDN) is to create an open, programmable network. Conventional network devices, such as routers and switches, may make routing decisions and forward packets; however, SDN divides these components into the Data plane and the Control plane by splitting distinct features away. As a result, switches can only forward packets and cannot make routing decisions; the controller makes routing decisions. OpenFlow is the communication interface between the switches and the controller. It is a protocol that allows the controller to identify the network packet’s path across the switches. This project uses the SDN environment to implement the firefly optimization algorithm to determine the shortest path between two nodes in a network. The firefly optimization algorithm was implemented using Ryu control. The results reveal that using the firefly optimization algorithm improves the selected short path between the source and destination.

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Tariq, Shahroz, Sangyup Lee, Huy Kang Kim, and Simon S. Woo. "CAN-ADF: The controller area network attack detection framework." Computers & Security 94 (July 2020): 101857. http://dx.doi.org/10.1016/j.cose.2020.101857.

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12

Leen, G., and D. Heffernan. "TTCAN: a new time-triggered controller area network." Microprocessors and Microsystems 26, no. 2 (March 2002): 77–94. http://dx.doi.org/10.1016/s0141-9331(01)00148-x.

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13

Machavarapu, Suman, Mannam Venu Gopala Rao, and Pulipaka Venkata Ramana Rao. "Design of Load Frequency Controller for Multi-area System Using AI Techniques." Journal Européen des Systèmes Automatisés 53, no. 4 (September 30, 2020): 541–48. http://dx.doi.org/10.18280/jesa.530413.

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The paper presents an adaptive Load Frequency Controller (LFC) based on a neural network for the interconnected multi-area systems. When there is an imbalance between active power generation and demand there will deviation in the frequency from the reference value. Major disturbances that lead to the variation in frequency beyond the allowable limits are variation in load demand and faults, etc. Initially PID based LFC which is a conventional controller is used to bring back the variations in frequency when there is a disturbance. But these conventional controllers will operate certain operating points only, very slow and, are less efficient for nonlinear systems. To avoid the flaws in the conventional controller the artificial intelligent controllers such as neural network and fuzzy logic controllers are designed. The three, two area, and single area systems are considered as the test systems. The response of all the test systems is observed without and with PI, fuzzy, and neural network controllers. It was observed that the neural network controller is outperforming in damping the variation in the frequency due to the disturbances.

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Shupeng Zhao, Shifang Zhang, and Jiuxi Li. "Research on Chassis Dynamometer Based on Controller Area Network." Journal of Convergence Information Technology 8, no. 8 (April 30, 2013): 163–70. http://dx.doi.org/10.4156/jcit.vol8.issue8.20.

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15

FARAG, EMAD N., MOHAMED I. ELMASRY, MOHAMED N. SALEH, and NABIL M. ELNADY. "A TWO-LEVEL HIERARCHICAL MOBILE NETWORK: STRUCTURE AND NETWORK CONTROL." International Journal of Reliability, Quality and Safety Engineering 03, no. 04 (December 1996): 325–51. http://dx.doi.org/10.1142/s0218539396000211.

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The increase in demand for mobile telecommunication systems, and the limited bandwidth allocated to these systems, have led to systems with smaller cell dimensions, which in turn led to the increase of control messages. In order to prevent controller bottle necks, it is desirable to distribute the network control functions throughout the network. To satisfy this requirement, a mobile network structure characterized by its hierarchical and decentralized network control is presented in this paper. The area served by the mobile system is divided into regions, and the regions are further divided into cells. Each cell is served by a base station, each base station is connected to a regional network through a base station interface unit (BIU). Each region has its own regional network. Connected to each regional network are the cellular controller, the home database, the visitor database, the trunk interface unit (TIU) and the gateway interface unit (GIU). The TIU connects the regional network to the public switched telephone network (PSTN). The GIU connects the regional network to other regional networks through the gateway network. This architecture distributes the network control functions among a large number of processing elements, thus preventing controller bottle necks — a problem faced by centralized controlled systems. The information and network control messages are transferred in the form of packets across this network. Processes inherent to the operation of this network structure are illustrated and discussed. These processes include the location update process, the setting up of a call, the handoff process (both the intra-region handoff process and the inter-region handoff process are considered), and the process of terminating a call.

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Cheng, Xiao Fei, Jun Dong Guo, Shu Long Liu, and Xian Ping Cui. "Research of Hydraulic Support Control System Based on Controller Area Network." Applied Mechanics and Materials 644-650 (September 2014): 191–94. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.191.

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According to the characteristics of hydraulic support intelligent control, the hydraulic support control system is designed and analyzed based on Controller Area Network (CAN) technology. Through the characteristics of CAN-bus network communication, the host computer communication and monitoring requirements is researched, and the mission of function is established. The data transmission program is designed under MSComm ActiveX which accomplishes stable communication function. Based on hydraulic test bench, the reliability of data transmission is verified which provides some guidance for the development of the intelligent control.

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17

Peng, Huachao, Xiaoyuan Zhu, Liu Yang, and Guichen Zhang. "Robust controller design for marine electric propulsion system over controller area network." Control Engineering Practice 101 (August 2020): 104512. http://dx.doi.org/10.1016/j.conengprac.2020.104512.

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18

Fahri, Muhamad, Andrew Fiade, and Hendra Bayu Suseno. "Simulasi Jaringan Virtual Local Area Network (VLAN) Menggunakan Pox Controller." JURNAL TEKNIK INFORMATIKA 10, no. 1 (January 22, 2018): 85–90. http://dx.doi.org/10.15408/jti.v10i1.6821.

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ABSTRAK Keterbatasan LAN melahirkan sebuah teknologi VLAN yang memungkinkan adanya konfigurasi dari suatu jaringan komputer secara virtual (virtualisasi). Proses mencocokkan fleksibilitas virtualisasi server sulit dilakukan dengan switch tradisional, sebab logika kontrol untuk setiap switch terletak dalam logika switching yang sama. Software Defined Network (SDN) memisahkan control plane dari forwarding hardware. Migrasi logic control yang digunakan pada perangkat yang terintegrasi (misalnya switch ethernet) menjadi mudah diakses dan secara logis jaringan menjadi terpusat dalam hal pengendalian. Pada penelitian ini dilakukan simulasi jaringan VLAN menggunakan Pox controller sehingga dapat mengetahui hasil evaluasi jaringan VLAN menggunakan pox controller. Berdasarkan fase simulation, konfigurasi jaringan VLAN lebih ditekankan pada controller. Berdasarkan hasil pengujian nilai rata-rata jitter, pada jaringan VLAN menggunakan 2 buah switch nilai rata-rata Jitter sebesar 0,009 ms. Nilai rata-rata jitter tersebut lebih kecil dari nilai rata-rata jitter pada jaringan VLAN yang menggunakan 3 buah switch yaitu sebesar 0,027 ms. Sedangkan hasil pengujian nilai rata-rata packet loss memiliki nilai yang sama, yaitu 0%. Nilai rata-rata packet loss tersebut menunjukkan bahwa kedua skenario tersebut tidak terjadi kehilangan paket. ABSTRACT Limitations of the LAN gave birth to a VLAN technology that allows the configuration of a virtual computer network (virtualization). The process of matching server virtualisation flexibility is difficult with traditional switches, since the control logic for each switch lies in the same switching logic. Software Defined Network (SDN) separates the control plane from hardware forwarding. The migration logic controls used on integrated devices (eg ethernet switches) are easily accessible and logically the network becomes centralized in terms of control. In this research VLAN network simulation using Pox controller so that can know result of evaluation of VLAN network using pox controller. Based on the simulation phase, VLAN network configuration is more emphasized on the controller. Based on the results of testing the average value of Jitter, on the VLAN network using 2 pieces of the average value of Jitter value of 0.009 ms. The average value of Jitter is smaller than the average value of Jitter on a VLAN network using 3 switches of 0.027 ms. While the test results the average value of Packet Loss has the same value, ie 0%. The average value of Packet Loss indicates that both scenarios do not occur Packet Loss. How to Cite : Fahri, M. Fiade, A. Suseno, H.B. (2017). SIMULASI JARINGAN VIRTUAL LOCAL AREA NETWORK (VLAN) MENGGUNAKAN POX CONTROLLER. Jurnal Teknik Informatika, 10(1), 85-90. doi:10.15408/jti.v10i1.6821Permalink/DOI: http://dx.doi.org/10.15408/jti.v10i1.6821

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19

Palaniswamy, Basker, Seyit Camtepe, Ernest Foo, and Josef Pieprzyk. "An Efficient Authentication Scheme for Intra-Vehicular Controller Area Network." IEEE Transactions on Information Forensics and Security 15 (2020): 3107–22. http://dx.doi.org/10.1109/tifs.2020.2983285.

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20

Vlahakis, Eleftherios, Leonidas Dritsas, and George Halikias. "Distributed LQR Design for a Class of Large-Scale Multi-Area Power Systems." Energies 12, no. 14 (July 11, 2019): 2664. http://dx.doi.org/10.3390/en12142664.

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Load frequency control (LFC) is one of the most challenging problems in multi-area power systems. In this paper, we consider power system formed of distinct control areas with identical dynamics which are interconnected via weak tie-lines. We then formulate a disturbance rejection problem of power-load step variations for the interconnected network system. We follow a top-down method to approximate a centralized linear quadratic regulator (LQR) optimal controller by a distributed scheme. Overall network stability is guaranteed via a stability test applied to a convex combination of Hurwitz matrices, the validity of which leads to stable network operation for a class of network topologies. The efficiency of the proposed distributed load frequency controller is illustrated via simulation studies involving a six-area power system and three interconnection schemes. In the study, apart from the nominal parameters, significant parametric variations have been considered in each area. The obtained results suggest that the proposed approach can be extended to the non-identical case.

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21

Davis, Robert I., and Alan Burns. "Robust priority assignment for messages on Controller Area Network (CAN)." Real-Time Systems 41, no. 2 (November 26, 2008): 152–80. http://dx.doi.org/10.1007/s11241-008-9065-2.

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22

Lee, Heung-Jae, Seong-Su Jhang, Won-Kun Yu, and Jung-Hyun Oh. "Artificial Neural Network Control of Battery Energy Storage System to Damp-Out Inter-Area Oscillations in Power Systems." Energies 12, no. 17 (September 2, 2019): 3372. http://dx.doi.org/10.3390/en12173372.

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This paper proposed an ANN (Artificial Neural Network) controller to damp out inter-area oscillation of a power system using BESS (Battery Energy Storage System). The conventional lead-lag controller-based PSSs (Power System Stabilizer) have been designed using linear models usually linearized at heavy load conditions. This paper proposes a non-linear ANN based BESS controller as the ANN can emulate nonlinear dynamics. To prove the performance of this nonlinear PSS, two linear PSS are introduced at first which are linearized at the heavy load and light load conditions, respectively. It is then verified that each controller can damp out inter-area oscillations at its own condition but not satisfactorily at the other condition. Finally, an ANN controller, that learned the dynamics of these two controllers, is proposed. Case studies are performed using PSCAD/EMTDC and MATLAB. As a result, the proposed ANN PSS shows a promising robust nonlinear performance.

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Uddin, Zeb, Zeb, Ishfaq, Khan, Ul Islam, Tanoli, Haider, Kim, and Park. "A Neural Network-Based Model Reference Control Architecture for Oscillation Damping in Interconnected Power System." Energies 12, no. 19 (September 24, 2019): 3653. http://dx.doi.org/10.3390/en12193653.

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In this paper, a model reference controller (MRC) based on a neural network (NN) is proposed for damping oscillations in electric power systems. Variation in reactive load, internal or external perturbation/faults, and asynchronization of the connected machine cause oscillations in power systems. If the oscillation is not damped properly, it will lead to a complete collapse of the power system. An MRC base unified power flow controller (UPFC) is proposed to mitigate the oscillations in 2-area, 4-machine interconnected power systems. The MRC controller is using the NN for training, as well as for plant identification. The proposed NN-based MRC controller is capable of damping power oscillations; hence, the system acquires a stable condition. The response of the proposed MRC is compared with the traditionally used proportional integral (PI) controller to validate its performance. The key performance indicator integral square error (ISE) and integral absolute error (IAE) of both controllers is calculated for single phase, two phase, and three phase faults. MATLAB/Simulink is used to implement and simulate the 2-area, 4-machine power system.

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El, Emary, Walid Emar, and Musbah Aqel. "The adaptive fuzzy designed PID controller using wavelet network." Computer Science and Information Systems 6, no. 2 (2009): 141–63. http://dx.doi.org/10.2298/csis0902141e.

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During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of the fuzzy set theory, especially in the realm of the industrial processes, which do not lend themselves to control by conventional methods because of a lack of quantitative data regarding the inputoutput relations i.e., accurate mathematical models. The fuzzy logic controller based on wavelet network provides a means of converting a linguistic control strategy based on expert knowledge into an automatic strategy. In the available literature, one can find scores of papers on fuzzy logic based controllers or fuzzy adaptation of PID controllers. However, relatively less number of papers is found on fuzzy adaptive control, which is not surprising since fuzzy adaptive control is relatively new tool in control engineering. In this paper, fuzzy adaptive PID controller with wavelet network is discussed in subsequent sections with simulations. An adaptive neural network structure was proposed. This structure was used to replace the linearization feedback of a second order system (plant, process). Also, in this paper, it is proposed that the controller be tuned using Adaptive fuzzy controller where Adaptive fuzzy controller is a stochastic global search method that emulates the process of natural evolution. It is shown that Adaptive fuzzy controller be capable of locating high performance areas in complex domains without experiencing the difficulties associated with high dimensionality or false optima as may occur with gradient decent techniques. From the output results, it was shown that Adaptive fuzzy controller gave fast convergence for the nonparametric function under consideration in comparison with conventional Neural Wavelet Network (NWN).

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Tomlinson, Andrew, Jeremy Bryans, and Siraj Ahmed Shaikh. "Using internal context to detect automotive controller area network attacks." Computers & Electrical Engineering 91 (May 2021): 107048. http://dx.doi.org/10.1016/j.compeleceng.2021.107048.

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Dokht Shakibjoo, Ali, Mohammad Moradzadeh, Seyed Zeinolabedin Moussavi, and Lieven Vandevelde. "A Novel Technique for Load Frequency Control of Multi-Area Power Systems." Energies 13, no. 9 (April 25, 2020): 2125. http://dx.doi.org/10.3390/en13092125.

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In this paper, an adaptive type-2 fuzzy controller is proposed to control the load frequency of a two-area power system based on descending gradient training and error back-propagation. The dynamics of the system are completely uncertain. The multilayer perceptron (MLP) artificial neural network structure is used to extract Jacobian and estimate the system model, and then, the estimated model is applied to the controller, online. A proportional–derivative (PD) controller is added to the type-2 fuzzy controller, which increases the stability and robustness of the system against disturbances. The adaptation, being real-time and independency of the system parameters are new features of the proposed controller. Carrying out simulations on New England 39-bus power system, the performance of the proposed controller is compared with the conventional PI, PID and internal model control based on PID (IMC-PID) controllers. Simulation results indicate that our proposed controller method outperforms the conventional controllers in terms of transient response and stability.

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Choi, Eunmin, Sungmin Han, Jaeseok Lee, Seonghun Lee, Suwon Kang, and Ji-Woong Choi. "Compatibility Analysis of the Turbo Controller Area Network (TURBO CAN)." IEEE Transactions on Vehicular Technology 67, no. 6 (June 2018): 5146–57. http://dx.doi.org/10.1109/tvt.2018.2825258.

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Zhang, Leiming, Fan Yang, and Yong Lei. "Tree-Based Intermittent Connection Fault Diagnosis for Controller Area Network." IEEE Transactions on Vehicular Technology 68, no. 9 (September 2019): 9151–61. http://dx.doi.org/10.1109/tvt.2019.2929419.

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Rietz, René, Radoslaw Cwalinski, Hartmut König, and Andreas Brinner. "An SDN-Based Approach to Ward Off LAN Attacks." Journal of Computer Networks and Communications 2018 (November 21, 2018): 1–12. http://dx.doi.org/10.1155/2018/4127487.

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The detection of attacks on large administrative network domains is nowadays generally accomplished centrally by analyzing the data traffic on the uplink to the Internet. The first phase of an infection is usually difficult to observe. Often attackers use e-mail attachments or external media, such as USB sticks, hardware with preinstalled malware, or contaminated mobile devices to infect target systems. In such scenarios, the initial infection cannot be blocked at the network level. The lateral movement of attack programs (exploits) through internal networks and the exfiltration of data, however, which are the main purpose of targeted attacks, run always over the network. Security measures against such internal network attacks require a comprehensive monitoring concept that spans the entire network to its edge. Especially for preventive measures, this means providing a security concept for local area networks (LANs). In this paper, we propose based on an analysis of typical LAN-based attacks an approach for preventing these attacks for both IPv4 and IPv6 networks. It applies the software-defined networking (SDN) paradigm for centralizing the related network decisions in a central authority—the SDN controller—that manages all network connections and hence the associated data flows.

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Schmidt, Klaus Werner. "Robust Priority Assignments for Extending Existing Controller Area Network Applications." IEEE Transactions on Industrial Informatics 10, no. 1 (February 2014): 578–85. http://dx.doi.org/10.1109/tii.2013.2266636.

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Tale, Nkgatho Sylvester, Glen Bright, and W. L. Xu. "Distributed control of hexapod wall climbing robot implementing Controller Area Network (CAN)." International Journal of Intelligent Systems Technologies and Applications 1, no. 1/2 (2005): 66. http://dx.doi.org/10.1504/ijista.2005.007330.

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Rameshappa, Basavarajappa Sokke, and Nagaraj Mudakapla Shadaksharappa. "An optimal artificial neural network controller for load frequency control of a four-area interconnected power system." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 5 (October 1, 2022): 4700. http://dx.doi.org/10.11591/ijece.v12i5.pp4700-4711.

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In this paper, an optimal artificial neural network (ANN) controller for load frequency control (LFC) of a four-area interconnected power system with non-linearity is presented. A feed forward neural network with multi-layers and Bayesian regularization backpropagation (BRB) training function is used. This controller is designed on the basis of optimal control theory to overcome the problem of load frequency control as load changes in the power system. The system comprised of transfer function models of twothermal units, one nuclear unit and one hydro unit. The controller model is developed by considering generation rate constraint (GRC) of different units as a non-linearity. The typical system parameters obtained from IEEE press power engineering series and EPRI books. The robustness, effectiveness, and performance of the proposed optimal ANN controller for a step load change and random load change in the system is simulated through using MATLAB-Simulink. The time response characteristics are compared with that obtained from the proportional, integral and derivative (PID) controller and non-linear autoregressive-moving average (NARMA-L2) controller. The results show that the algorithm developed for proposed controller has a superiority in accuracy as compared to other two controllers.

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Vatchova, Boriana, and Yordanka Boneva. "Design of Fuzzy and Conventional Controllers for Modeling and Simulation of Urban Traffic Light System with Feedback Control." Mathematics 11, no. 2 (January 10, 2023): 373. http://dx.doi.org/10.3390/math11020373.

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Traffic patterns in urban areas present a complex and dynamic system that is characterized by inherent uncertainties. The presented study is a traffic light control system with feedback. The controller of the system is designed in a fuzzy and conventional way and is applied to a network of two junctions. The verification is performed using the MATLAB fuzzy toolbox platform (for designing the fuzzy controller) and Aimsun platform for microsimulation of the two junctions using the two types of controllers. To accomplish the control of the system a fuzzy controller on heuristic rules proposed to allow adaptive traffic control on signalized junctions in urban environments. The Fuzzy Toolbox in MATLAB is used to simulate the fuzzy controller. The Aimsun traffic simulator is used to model and simulate a traffic network of two intersections. The green light duration in the Aimsun model is based on the results for the two controllers from two separated experiments. Simulations of Aimsun models with the two types of controllers, the fuzzy and the conventional one, are compared. The experiment is performed under the premise that the traffic flow is oversaturated. Findings show that in a network of two junctions both controllers perform in a similar manner for the first junction. However, for the second junction, the fuzzy controller tends to have some advantages over the conventional controller with regard to higher traffic flow. In conclusion, the overall performance of the fuzzy controller is better than the one of the conventional controller, but further research is needed for more complex traffic networks.

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Ding, Yong, Hui Xu, Meng Zhao, Hai Liang, and Yujue Wang. "Group authentication and key distribution for sensors in wireless body area network." International Journal of Distributed Sensor Networks 17, no. 9 (September 2021): 155014772110443. http://dx.doi.org/10.1177/15501477211044338.

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Wireless body area network can be employed to collect patient’s electronic health data. To guarantee the reliability and confidentiality of the collected data, secure data transmission in wireless body area network is required. In wireless body area network, a mutual authentication process has to be carried out between the controller and sensors to ensure their legitimacy, and a key distribution mechanism is required to secure communication after successful mutual authentication. Li et al. proposed a cryptographic solution, which allows group device pairing authentication and key agreement but has low authentication efficiency and key leakage problems. To address these issues, a group authentication and key distribution scheme is proposed in this article. It enables effectively mutual authentication between controller and sensors, supports all signatures of sensors in the group to be checked by the controller through aggregation verification to achieve efficient authentication, and allows key distribution during authentication to improve the computation efficiency. Security analysis indicates that the proposed scheme enjoys existentially unforgeability, and theoretical and experimental comparison demonstrates its practicality in terms of computation and communication cost.

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Ji, Cheongmin, Taehyoung Ko, and Manpyo Hong. "CA-CRE: Classification Algorithm-Based Controller Area Network Payload Format Reverse-Engineering Method." Electronics 10, no. 19 (October 8, 2021): 2442. http://dx.doi.org/10.3390/electronics10192442.

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In vehicles, dozens of electronic control units are connected to one or more controller area network (CAN) buses to exchange information and send commands related to the physical system of the vehicles. Furthermore, modern vehicles are connected to the Internet via telematics control units (TCUs). This leads to an attack vector in which attackers can control vehicles remotely once they gain access to in-vehicle networks (IVNs) and can discover the formats of important messages. Although the format information is kept secret by car manufacturers, CAN is vulnerable, since payloads are transmitted in plain text. In contrast, the secrecy of message formats inhibits IVN security research by third-party researchers. It also hinders effective security tests for in-vehicle networks as performed by evaluation authorities. To mitigate this problem, a method of reverse-engineering CAN payload formats is proposed. The method utilizes classification algorithms to predict signal boundaries from CAN payloads. Several features were uniquely chosen and devised to quantify the type-specific characteristics of signals. The method is evaluated on real-world and synthetic CAN traces, and the results show that our method can predict at least 10% more signal boundaries than the existing methods.

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Jeong, Woojin, Sungmin Han, Eunmin Choi, Seonghun Lee, and Ji-Woong Choi. "CNN-Based Adaptive Source Node Identifier for Controller Area Network (CAN)." IEEE Transactions on Vehicular Technology 69, no. 11 (November 2020): 13916–20. http://dx.doi.org/10.1109/tvt.2020.3016352.

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Heng, Yuming, Minggong Wu, Xiangxi Wen, and Fugen Lin. "Control–Flight Conflict Interdependent Network Based Controllers’ Workload Prediction Evaluation Study." Applied Sciences 12, no. 20 (October 21, 2022): 10671. http://dx.doi.org/10.3390/app122010671.

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As the core link of the air traffic control system, the evaluation and management of controllers’ workload are of great significance for the rapid development of China’s civil aviation industry and aviation safety. To address the problems of strong subjectivity and lag in the current controller evaluation methods, we propose to construct a flight conflict network and control network based on inter-aircraft flight conflict, controller control relationship and control transfer relationship by using the interdependent network theory. Based on the urgency of inter-aircraft conflict and the control difficulty of controllers, we set the side rights and construct an interdependent network model. Based on the constructed network model, the controller workload is evaluated by selecting the interdependent network index characteristics. Finally, the experimental analysis is carried out by program simulation and control data of Takasaki Airport. The results demonstrate that the method is able to evaluate the controller’s workload. At the same time, it can quickly and accurately identify the key control nodes and provide assistance for controllers to allocate their efforts reasonably. Our proposed controller workload evaluation method enables quantitative analysis and predicts the future workload of controllers based on the potential conflict relationships between air posture and aircraft. The method has strong timeliness and objectivity. At the same time, the constructed interdependent network model can realize the identification of key aircraft in the control area and reflect the impact of key aircraft on the whole network, which can help controllers to perform better control work.

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Zhang, Lei-ming, Long-hao Tang, and Yong Lei. "Controller area network node reliability assessment based on observable node information." Frontiers of Information Technology & Electronic Engineering 18, no. 5 (May 2017): 615–26. http://dx.doi.org/10.1631/fitee.1601029.

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Zhang, Lei-ming, Yi-chao Sun, and Yong Lei. "Message delay time distribution analysis for controller area network under errors." Frontiers of Information Technology & Electronic Engineering 20, no. 6 (June 2019): 760–72. http://dx.doi.org/10.1631/fitee.1700815.

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Wang, Yameng, Nan Zhao, Xiaoqian Liu, Sinan Karaburun, Mario Chen, and Tingshao Zhu. "Identifying Big Five Personality Traits through Controller Area Network Bus Data." Journal of Advanced Transportation 2020 (October 19, 2020): 1–10. http://dx.doi.org/10.1155/2020/8866876.

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As adapting vehicles to drivers’ preferences has become an important focus point in the automotive sector, a more convenient, objective, real-time method for identifying drivers’ personality traits is increasingly important. Only recently has increased availability of driving signals obtained via controller area network (CAN) bus provided new perspectives for investigating personality differences. This study proposes a new methodology for identifying drivers’ Big Five personality traits through driving signals, specifically accelerator pedal angle, frontal acceleration, steering wheel angle, lateral acceleration, and speed. Data were collected from 92 participants who were asked to drive a car along a pre-defined 15 km route. Using statistical methods and the discrete Fourier transform, some time-frequency features related to driving were extracted to establish models for identifying participants’ Big Five personality traits. For these five personality trait dimensions, the coefficients of determination of effective predictive models were between 0.19 and 0.74, the root mean squared errors were between 2.47 and 4.23, and the correlations between predicted scores and self-reported questionnaire scores were considered medium to strong (0.56–0.88). The results showed that personality traits can be revealed through driving signals, and time-frequency features extracted from driving signals are effective in characterizing and identifying Big Five personality traits. This approach could be of potential value in the development of in-car integration or driver assistance systems and indicates a possible direction for further research on convenient psychometric methods.

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Emelyanov, A. E., and V. K. Bityukov. "Development of simulation models for the study of systems with probabilistic interactions of elements." Proceedings of the Voronezh State University of Engineering Technologies 80, no. 3 (December 17, 2018): 63–69. http://dx.doi.org/10.20914/2310-1202-2018-3-63-69.

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One of the topical areas of theoretical and experimental research is the analysis, modeling and synthesis of technical systems with probabilistic interactions of elements. The work is devoted to the development of simulation models for the study of one class of such systems - network management systems. As data transmission channels, such systems use industrial or public digital computer networks. The use of computer networks in control systems leads to new problems: random time delay in the transmission process, the likely loss of the data packet, the possibility of asynchronous operation of the elements of the system. Not taking these factors into account can lead to a loss of sustainability of the management system. To study these problems, it is proposed to use simulation models of appropriate control systems. In the work, simulation models for a digital control system without delay in the transmission channel, a network management system with a network communication channel between the sensor and the controller have been developed. In this case, cases are considered where the transmission time on the network channel does not exceed the quantization clock time and when the transmission time over the network channel may exceed the quantization clock time. For the cases considered, appropriate simulation models have been developed. When simulating a network management system in which the transmission time of a data packet over a network channel could exceed the time of a quantization clock, it was assumed that the sensor and the controller have an infinitely large buffer. For simplicity of modeling, it was assumed that if a data packet from a digital sensor is not transmitted in one clock cycle to the controller, it is placed in the sensor buffer. With the possible transfer of data over the channel, all packets from the sensor buffer are transferred to the controller buffer. It was assumed that the controller processes incoming data from the buffer sequentially – one packet per quantization cycle. To simulate such situations it was suggested to use the corresponding developed random processes. Simulation of the functioning of digital and network control systems was carried out in the Simulink environment of the Matlab system.

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Ng, Wei Lun, Chee Kyun Ng, Borhanuddin Mohd Ali, and Nor Kamariah Noordin. "Performance Evaluation of Wireless Controller Area Network (WCAN) Using Token Frame Scheme." Wireless Personal Communications 72, no. 4 (March 15, 2013): 1847–73. http://dx.doi.org/10.1007/s11277-013-1099-7.

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Bozdal, Mehmet, Mohammad Samie, and Ian K. Jennions. "WINDS: A Wavelet-Based Intrusion Detection System for Controller Area Network (CAN)." IEEE Access 9 (2021): 58621–33. http://dx.doi.org/10.1109/access.2021.3073057.

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Li, Wei, Wei Zhu, Xiaoyuan Zhu, Youzhong Xu, Jin Yang, and Zongbao Li. "Torsional Oscillations Control of Integrated Motor-Transmission System Over Controller Area Network." IEEE Access 8 (2020): 4397–407. http://dx.doi.org/10.1109/access.2019.2962828.

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Shah, M. B. Nor, A. R. Husain, S. Punekkat, and R. S. Dobrin. "A new error handling algorithm for controller area network in networked control system." Computers in Industry 64, no. 8 (October 2013): 984–97. http://dx.doi.org/10.1016/j.compind.2013.05.008.

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Ganesh, Aman, Ratna Dahiya, and Girish Kumar Singh. "Wide area adaptive hybrid fuzzy STATCOM controller for dynamic stability enhancement." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 35, no. 5 (September 5, 2016): 1830–49. http://dx.doi.org/10.1108/compel-07-2015-0249.

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Purpose The purpose of this paper is to develop an adaptive fuzzy controller for STATCOM to damp low-frequency inter-area oscillation over wide operating range using wide area signals in multimachine power system. Design/methodology/approach In this paper tuneable fuzzy model is proposed where the parameters of the fuzzy inference system are tuned by using the adaptive characteristic of the artificial neural network. Based on back propagation algorithm and method of least square estimation, the fuzzy inference rule base is tweaked according to the data from which they are modelled. The wide area control signals, for the proposed controller, available in the power system are selected on the basis of eigenvalue sensitivity defined in terms of participation factor. Findings The effectiveness of the proposed controller with wide area signals is tested on two test cases, namely, two area network and IEEE 12 bus benchmark system. The comparative analysis of the proposed adaptive fuzzy controller is carried out with conventional STATCOM controller along with fuzzy-and neural-based supplementary controller all using selected wide area signals. The results show that neural network tuned fuzzy controller leads to better system identification and have enhanced damping characteristics over wide operating range. Originality/value In the available literature, numerous researchers have indicated the use of fuzzy logic controller and neural controller along with their hybrid schemes as STATCOM controller for improving the dynamics of the multimachine power system using local signals. The main contribution of the paper is in using the hybrid intelligent control scheme for STATCOM using wide area signals. The advantage of proposed scheme is that the performance of well-designed fuzzy system can be enhanced with the same training data that are used for designing a neural controller thus giving enhanced performance in comparison to individual intelligent control scheme.

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KAPUR, AJAY, GE WANG, PHILIP DAVIDSON, and PERRY R. COOK. "Interactive Network Performance: a dream worth dreaming?" Organised Sound 10, no. 3 (November 29, 2005): 209–19. http://dx.doi.org/10.1017/s1355771805000956.

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This paper questions and examines the validity and future of interactive network performance. The history of research in the area is described as well as experiments with our own system. Our custom-built networked framework, known as GIGAPOPR, transfers high-quality audio, video and MIDI data over a network connection to enable live musical performances to occur in two or more distinct locations. One of our first sensor-augmented Indian instruments, The Electronic Dholak (EDholak) is a multi-player networked percussion controller that is modelled after the traditional Indian Dholak. The EDholaks trigger sound, including samples and physical models, and visualisation, using our custom-built networked visualisation software, known as veldt.

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Wang, Yan, Zhong Da Yu, Chen Xing Bao, and Dong Xiang Shao. "Development of Field Control System of Automated Guided Vehicle Based on Wireless Local Area Network and CAN Bus." Key Engineering Materials 579-580 (September 2013): 792–97. http://dx.doi.org/10.4028/www.scientific.net/kem.579-580.792.

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In this paper, we realize a real-time communication based on wireless local area network (WIFI) and controller area network (CAN) bus and develop a distributed control system for an automated guided vehicle (AGV). The system consists of two levels: (1) communication between AGVs and main computer based on WIFI, (2) communicationg between control units of AGV based on CAN bus. A real-time operating system μC/OS-II was used to control time, which significantly reduces the time for program and improves development efficiency. Finally, a small-size distributed AGV controller is developed as the main control unit of AGV and a distributed I/O system is developed based on it.

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Olufowobi, Habeeb, Clinton Young, Joseph Zambreno, and Gedare Bloom. "SAIDuCANT: Specification-Based Automotive Intrusion Detection Using Controller Area Network (CAN) Timing." IEEE Transactions on Vehicular Technology 69, no. 2 (February 2020): 1484–94. http://dx.doi.org/10.1109/tvt.2019.2961344.

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Kim, Hyeong-Jun, Min-Hee Choi, Mah-Ho Kim, and Suk Lee. "Development of an Ethernet-Based Heuristic Time-Sensitive Networking Scheduling Algorithm for Real-Time In-Vehicle Data Transmission." Electronics 10, no. 2 (January 13, 2021): 157. http://dx.doi.org/10.3390/electronics10020157.

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The rapid development and adaptation of advanced driver assistance systems (ADAS) and autonomous driving increases the burden of in-vehicle networks. In-vehicle networks are now required to provide a fast data rate and bounded delay for real-time operation, while conventional protocols such as controller area networks, local interconnected networks, and FlexRay begin to show limitations. Ethernet-based time-sensitive network (TSN) technology has been proposed as an alternative. TSN is a set of Ethernet standards being developed by the IEEE TSN task group, which aims to satisfy requirements such as real-time operation, stability, and low and bounded latency, and it can be used in automotive, industrial, and aerospace applications. This study introduces several standards for Ethernet traffic scheduling based on TSN technology and proposes a heuristic-based scheduling algorithm for Ethernet scheduling. In addition, three network configurations are simulated using OMNeT++ to show the applicability. The heuristic TSN scheduling algorithm is a straightforward and systematic procedure for practical network designers.

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