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Journal articles on the topic 'Control Area Network'

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Published: 4 June 2021
Last updated: 11 February 2022

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1

Stoilov, E. I., and E. S. Georgiev. "Distributed Local Area Network Control." IFAC Proceedings Volumes 21, no. 19 (June 1988): 227–31. http://dx.doi.org/10.1016/s1474-6670(17)54497-3.

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2

Ranjan, Bibhash, and Mayank Gupta. "Automobile Control System using Controller Area Network." International Journal of Computer Applications 67, no. 18 (April 18, 2013): 34–38. http://dx.doi.org/10.5120/11498-7210.

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3

Wang, Liang Run, Chuan Sheng Wu, Shi Cheng Zhao, and Fang Hui Liu. "Research on Network Management Network." Advanced Materials Research 989-994 (July 2014): 4338–41. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4338.

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Where in a metropolitan area server controls the network management process and the service process of a node switch and a node server under it, while the node server controls the network management process and the service process of an access switch and a terminal under it. Where in the metropolitan area server or the node server allocates an address to each network device by sending a query packet to each communication port, and establishes a clear network topology on the main control server side during the allocation process, in a main control mode. Thus, during the transmission process of a specific data packet, the main control server (metropolitan area server or node server) directly allocates a corresponding communication link (because it clearly knows the device topology of the whole network), without the need of carrying out route negotiation between each network device, thus a stable transmission rate may be guaranteed, and delay may be avoided.
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4

Ogbimi, Voke, and Emuejevoke Francis. "An Improved Error Control Model in Packet Switched Wide Area Networks." Transactions on Networks and Communications 7, no. 4 (November 8, 2019): 01–18. http://dx.doi.org/10.14738/tnc.74.7263.

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Error is an important problem in communication that occurs in shared networks when a packet fails to arrive at the destination or it arrives at the destination but some of the bits are in error or have been altered. In typical packet switched wide area networks, this can occur quite easily when output links are slower than inputs and multiple traffic sources competing for same output link at the same time. Typical for packet switched WAN, the packet transmit input/output buffer and queue of the network devices in their way towards the destination. Moreover, these networks are characterized by the fact that packets often arrive in “burst”. The buffers in the network devices are intended to assimilate these traffic hosts until they can be processed. Nevertheless, the available buffers in the network nodes may fill up rapidly if the network traffic is too high which in turn may lead to discarded packets. The situation cannot be avoided by increasing the size of the buffers, since unreasonable buffer size will lead to excessive end-to-end (e2e) delay. A typical scenario for congestion occurs where multiple incoming link feed into single outgoing link (e.g several Local Area Networks connected to Wide Area Networks). The routers of the networks are highly susceptible for traffic congestion because they are too small for the amount of traffic required to handle. This paper presented general concepts of Error Control and its mechanisms and its application to packet switched wide area networks An improved model was proposed with reduced error while transmitting packets from one channel to the other. Simulating the model for reducing error control in packet switched wide area networks increased the number of messages, reduced response time used in transmitting and receiving packets, reduced network utilization.
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Xu, Changbiao. "Distributed Inter-network Power Control Scheme in Wireless Body Area Network." Journal of Information and Computational Science 12, no. 5 (March 20, 2015): 2001–9. http://dx.doi.org/10.12733/jics20105603.

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6

Xu, Changbiao. "Centralized Inter-network Power Control Scheme in Wireless Body Area Network." Journal of Information and Computational Science 12, no. 8 (May 20, 2015): 3311–18. http://dx.doi.org/10.12733/jics20105960.

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7

Yoon, Sang-Jin, and Goon-Ho Choi. "Multiplexing Control of Automobile Eletromotive Mirror System using CAN(Controller Area Network) Protocol." Journal of the Korea Academia-Industrial cooperation Society 12, no. 11 (November 30, 2011): 5110–16. http://dx.doi.org/10.5762/kais.2011.12.11.5110.

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8

Kumaran, S., and R. Raja Mohan. "Fire Control in Industries using Controller Area Network." i-manager's Journal on Instrumentation and Control Engineering 1, no. 1 (January 15, 2013): 32–37. http://dx.doi.org/10.26634/jic.1.1.2080.

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9

Jamieson, Rodger, and Graham Low. "Local Area Network Operations: A Security, Control and Audit Perspective." Journal of Information Technology 5, no. 2 (June 1990): 63–72. http://dx.doi.org/10.1177/026839629000500202.

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This paper provides a framework for the review of security and control within a local area network environment. Network operations are subdivided into several functional areas or components for further review. Each component or area is briefly explained and the security risks, issues and concerns highlighted. Controls and security measures are proposed as guidelines to counter these threats. An approach to the audit of each major area of network operations is proposed. This suggested framework provides guidance to information system security officers, auditors, communications and network administrators, consultants and information systems management for the review of local area network security during network operations.
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10

Ghareaghaji, Ali. "FPGA Based Controller Area Network." International Journal of Reconfigurable and Embedded Systems (IJRES) 4, no. 2 (July 1, 2015): 122. http://dx.doi.org/10.11591/ijres.v4.i2.pp122-128.

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<p>In this paper the Controller Area Network (CAN) Controller is presented. CAN is an advance serial bus communication protocol that efficiently supports distributed, broadcast real-time control and fault tolerance features for automobile industries to provide congestion free networking. The CAN Controller is designed for scheduling of messages, consist of the Transmitter Controller, FIFO buffer, CRC generator and bit stuffer. Scheduling messages on CAN corresponds to assigning identifiers (IDs) to message according to their priorities. Non Return to Zero (NRZ) coding and Non Destructive Bitwise Arbitration (NDBA) is used. The data is taken from the buffer FIFO, bit stuffed and then transmitted after CRC is performed. The whole design is captured entirely in VHDL language using bottom up design and verification methodology. The proposed controller was designed for applications needing high level data integrity and data rates upto 1Mbps. The applications of CAN are factory automation, machine control, automobile, avionics and aerospace, building automation.</p>
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11

Ma, Chuang, Jang-Ping Sheu, and Chao-Xiang Hsu. "A Game Theory Based Congestion Control Protocol for Wireless Personal Area Networks." Journal of Sensors 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/6168535.

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In wireless sensor networks (WSNs), the presence of congestion increases the ratio of packet loss and energy consumption and reduces the network throughput. Particularly, this situation will be more complex in Internet of Things (IoT) environment, which is composed of thousands of heterogeneous nodes. RPL is an IPv6 routing protocol in low power and lossy networks standardized by IETF. However, the RPL can induce problems under network congestion, such as frequently parent changing and throughput degradation. In this paper, we address the congestion problem between parent nodes and child nodes in RPL-enabled networks, which typically consist of low power and resource constraint devices. To mitigate the effect of network congestion, we design a parent-change procedure by game theory strategy, by which the child nodes can change next hop neighbors toward the sink. Comparing to the ContikiRPL implementation, the simulation results show that our protocol can achieve more than two times improvement in throughput and reduce packet loss rate with less increasing of average hop count.
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12

Kiran, Mekathoti Vamsi, and Nithya B. "Network Status Aware Congestion Control (NSACC) Algorithm for Wireless Body Area Network." Procedia Computer Science 171 (2020): 42–51. http://dx.doi.org/10.1016/j.procs.2020.04.005.

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13

Lee, Yong Chang. "Comparison of Network-RTK Surveying Methods at Unified Control Stations in Incheon Area." Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography 32, no. 5 (October 31, 2014): 469–79. http://dx.doi.org/10.7848/ksgpc.2014.32.5.469.

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14

Al-Makhadmee, Zafer. "Automated Routing Control System of Local Area Network Segment." Communications and Network 05, no. 03 (2013): 247–50. http://dx.doi.org/10.4236/cn.2013.53030.

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15

M. J. Darr, T. S. Stombaugh, and S. A. Shearer. "CONTROLLER AREA NETWORK BASED DISTRIBUTED CONTROL FOR AUTONOMOUS VEHICLES." Transactions of the ASAE 48, no. 2 (2005): 479–90. http://dx.doi.org/10.13031/2013.18312.

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16

Chiou, Suh-Wen. "Optimization of Area Traffic Control for Equilibrium Network Flows." Transportation Science 33, no. 3 (August 1999): 279–89. http://dx.doi.org/10.1287/trsc.33.3.279.

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17

Rajasekar, T., and K. Bhaskar. "Vehicle Control System using Controller Area Network [Can] Protocol." International Journal of Communication and Networking System 5, no. 1 (June 15, 2015): 68–69. http://dx.doi.org/10.20894/ijcnes.103.005.001.018.

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18

Mišić, Jelena, and Vojislav B. Mišić. "Cognitive wireless personal area network for monitoring and control." Wireless Communications and Mobile Computing 11, no. 8 (July 6, 2009): 1042–50. http://dx.doi.org/10.1002/wcm.809.

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19

Chiou, Suh-Wen. "Joint optimization for area traffic control and network flow." Computers & Operations Research 32, no. 11 (November 2005): 2821–41. http://dx.doi.org/10.1016/j.cor.2004.04.006.

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20

Jamieson, Rodger, and Graham Low. "Security and control issues in local area network design." Computers & Security 8, no. 4 (June 1989): 283–90. http://dx.doi.org/10.1016/0167-4048(89)90087-4.

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21

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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22

Zhou, Geng Lie, Chi Bing Hu, Ya Zhou Wang, and Juan Wen Xie. "Application and Integration of Control Network and Information Network." Advanced Materials Research 875-877 (February 2014): 2275–79. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.2275.

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Enterprise integrated automation is the general trend of industrial control development. The combination of control network and information network provides comprehensive information services for enterprise as production information, production control, planning decisions and sales management as well. The industrial control network and information network integration can realize the information and resources sharing among the enterprises networks and further improve the enterprises informationization and integrated automation level so as to achieve the situation that the enterprise production and management is more efficient and more flexible. The study introduces the information integration of the fieldbus control network and the information network and analyze the information integration technologies such as internetworking, dynamic data exchange (DDE), Open Database Connectivity (ODBC), OLE for Process Control (OPC), control network and information network with unified protocol standards. the integration application of bus system is illustrated with the example of Controller Area Network (CAN) bus.
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23

Vosters, Gregory M., and Wayne W. Weaver. "Energy Space Modeling of Power Electronics in Local Area Power Networks." Advances in Power Electronics 2012 (September 13, 2012): 1–10. http://dx.doi.org/10.1155/2012/837602.

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Power electronics are a core enabling technology for local area power networks and microgrids for renewable energy, telecom, data centers, and many other applications. Unfortunately, the modeling, simulation, and control of power electronics in these systems are complicated when using traditional converter models in conjunction with the network nodal equations. This work proposes a change of variables for the power electronic converter models from traditional voltage and currents to input conductance and stored energy. From this change of state, a universal point of load converter model can be utilized in the network nodal equations irrespective of the topology of the converter. The only impact the original converter topology has on the new model is the bounds on the control and state variables, and the mapping back to the switching or duty cycle controls. The proposed approach greatly simplifies the modeling of local area power networks and microgrids. This simpler model can be used to study stability and energy utilization and develop high-level control strategies that were not previously feasible.
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24

Chen, Jing. "Building Bridges among Local Area Networks." Advanced Materials Research 605-607 (December 2012): 2383–86. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2383.

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This paper introduces the principles and functions of network bridge. The bridge is a storage and forwarding device that connects two LANs. It can be used to connect networks with the same or similar system structures, then the networks being connected would have the same logical, linked control procedures. It is a data link layer connection, and it helps achieving communications between different LANs.
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25

Liang, Zi Yi, Xin Nan Qu, and Xiang Hui Zhao. "Exploration Based on ZigBee Traffic Signals Area Control System." Applied Mechanics and Materials 135-136 (October 2011): 535–39. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.535.

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In order to solve the problem of traffic jams, this paper presents a solution about traffic signals area control system based on ZigBee wireless sensor network. The basic idea is to connect the area's traffic lights through ZigBee wireless sensor network according to the traffic flow during a time period where the system located. The command center coordinates and controls the length of the green signal, period and the time of the green signal on all roads through the ZigBee wireless sensor network, so that the motor vehicles which move from corresponding two-way intersections could get through with less red signal. The solution adopts TI's CC2430 RF transceiver chip and analog front-end chip CC2591 and some external circuits to design the hardware circuit of sensor nodes and the central control nodes. Then designs the applications about sensor nodes, central control nodes and management software of control center, which based on the ZigBee protocol stack. Test results show that the performance of the system, such as stability, response speed, could meet the actual demand. It can obviously improve the highway capacity.
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26

Zhao, Dan, Chun Qing Wu, Xiao Feng Hu, and Hong Jun Liu. "Virtual Area Routing: a Scalable Intra-Domain Routing Scheme." Advanced Engineering Forum 1 (September 2011): 320–24. http://dx.doi.org/10.4028/www.scientific.net/aef.1.320.

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As a distributed link state protocol, OSPF shows poor scalability when dealing with intra-domain routing in large networks. In this paper we present a new routing scheme called Virtual Area Routing (VAR) aimed to overcome the scalability problems of OSPF. The control plane is separated from data plane and is undertaken by dedicated elements in VAR. We show that VAR can simplify network configuration and management as well as avoid unnecessary route computation. Finally we conduct experiments in real topology and the result shows VAR can reduce control overhead and improve network performance.
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27

Jamieson, Rodger, and Graham Low. "Local area network operations: a security, control and audit perspective." Journal of Information Technology 5, no. 2 (June 1990): 63–72. http://dx.doi.org/10.1057/jit.1990.15.

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28

Tynan, Katherine, Michael Barton, and William Kricker. "Area Cancer Control Network: From cottage industry to strategic care." New South Wales Public Health Bulletin 12, no. 10 (2001): 266. http://dx.doi.org/10.1071/nb01089.

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29

Mittal, Mudit. "Use of SysML in a ‘Control Area Network’ Architecture design." INCOSE International Symposium 26, s1 (November 2016): 209–18. http://dx.doi.org/10.1002/j.2334-5837.2016.00326.x.

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30

Bacilieri, P., B. Caccia, R. Cardarelli, G. P. Carlucci, O. Ciaffoni, M. Coli, G. Di Pirro, et al. "Starnet, a fiber optic metropolitan area network with centralized control." Computer Physics Communications 57, no. 1-3 (December 1989): 459–65. http://dx.doi.org/10.1016/0010-4655(89)90263-4.

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31

Shaobu Wang, Xiangyu Meng, and Tongwen Chen. "Wide-Area Control of Power Systems Through Delayed Network Communication." IEEE Transactions on Control Systems Technology 20, no. 2 (March 2012): 495–503. http://dx.doi.org/10.1109/tcst.2011.2116022.

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32

Majithia, JC, San-Qi Li, and Tracy Parker. "Congestion control technique for an integrated services local area network." Computer Communications 8, no. 4 (August 1985): 180–85. http://dx.doi.org/10.1016/0140-3664(85)90251-8.

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33

Lopez-Perez, David, Daniela Laselva, Eugen Wallmeier, Paivi Purovesi, Petteri Lunden, Elena Virtej, Piotr Lechowicz, Esa Malkamaki, and Ming Ding. "Long Term Evolution-Wireless Local Area Network Aggregation Flow Control." IEEE Access 4 (2016): 9860–69. http://dx.doi.org/10.1109/access.2016.2643690.

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34

K, Antony Kumar, C. Saranya Jothi, S. Ravikumar, and V. Usha. "Wireless body area network using data communicationprotocol." International Journal of Engineering & Technology 7, no. 1.7 (February 5, 2018): 112. http://dx.doi.org/10.14419/ijet.v7i1.7.9587.

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Remote Body Area Networks are relied on to expect a basic part in the field of patient-thriving checking inside the not so distant future, which increases beast thought among specialists beginning late. One of the inconveniences is to build up a protected correspondence design among sensors and clients, while watching out for the typical security and protection concerns. In this paper, we propose a correspondence planning for BANs, and outline a course of action to secure the information exchanges between introduced/wearable sensors. Our course of action accomplishes an area based access control by utilizing an entry control tree portrayed by the attributes of the information. We likewise outline two customs to safely recover the touchy information from a BAN and instruct the sensors in a BAN.
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35

Nie Xiaobo. "A Novel Train Control Network Based on Controller Area Network and its Performance Analysis." International Journal of Digital Content Technology and its Applications 6, no. 20 (November 30, 2012): 455–64. http://dx.doi.org/10.4156/jdcta.vol6.issue20.49.

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36

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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37

Li, Qiongge, Gino Del Ferraro, Luca Pasquini, Kyung K. Peck, Hernán A. Makse, and Andrei I. Holodny. "Core language brain network for fMRI language task used in clinical applications." Network Neuroscience 4, no. 1 (January 2020): 134–54. http://dx.doi.org/10.1162/netn_a_00112.

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Functional magnetic resonance imaging (fMRI) is widely used in clinical applications to highlight brain areas involved in specific cognitive processes. Brain impairments, such as tumors, suppress the fMRI activation of the anatomical areas they invade and, thus, brain-damaged functional networks present missing links/areas of activation. The identification of the missing circuitry components is of crucial importance to estimate the damage extent. The study of functional networks associated with clinical tasks but performed by healthy individuals becomes, therefore, of paramount concern. These “healthy” networks can, indeed, be used as control networks for clinical studies. In this work we investigate the functional architecture of 20 healthy individuals performing a language task designed for clinical purposes. We unveil a common architecture persistent across all subjects under study, that we call “core” network, which involves Broca’s area, Wernicke’s area, the premotor area, and the pre-supplementary motor area. We study the connectivity of this circuitry by using the k-core centrality measure, and we find that three of these areas belong to the most robust structure of the functional language network for the specific task under study. Our results provide useful insights on primarily important functional connections.
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38

Wang, Jian Hang, and Hai Bo Wang. "Computer Local Area Network Security and Management." Advanced Materials Research 1079-1080 (December 2014): 595–97. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.595.

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Development of computer network technology has greatly improved the sharing rate and utilization of information resources, many areas are widely used local area network, widely used degree gradually expose their security and confidentiality issues. In particular, people lack knowledge on security policy and network security control mechanisms, leading network security becomes more complex. In this paper, the main problem with the current computer Local Area Network security and the starting point, the focus of the analysis and management of their security and confidentiality measures, hope to further enhance the computer LAN security.
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39

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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40

Neeraja T.P., Sivraj P., and Sasi K.K. "Wide Area Control Systems (WACS) Implementation Based on Sensor Network Concepts." Procedia Technology 21 (2015): 303–9. http://dx.doi.org/10.1016/j.protcy.2015.10.035.

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41

Kong, Fan Rong, Wenxin Wang, and Jiajun Zhu. "A Smart Home Control System Based on Controller Area Network Bus." Sensor Letters 11, no. 9 (September 1, 2013): 1667–71. http://dx.doi.org/10.1166/sl.2013.3039.

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42

Chiou, Suh-Wen. "TRANSYT derivatives for area traffic control optimisation with network equilibrium flows." Transportation Research Part B: Methodological 37, no. 3 (March 2003): 263–90. http://dx.doi.org/10.1016/s0191-2615(02)00013-9.

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43

TAKAYANAGI, Yuka, Hideaki SUGIO, Kiminori SUGAI, Mamoru MORIMOTO, and Koji SAITO. "Quality control of carotid ultrasonography in the corporate wide area network." Neurosonology 27, no. 1 (2014): 3–8. http://dx.doi.org/10.2301/neurosonology.27.3.

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44

Zhang, Zhen Dong, Jia Tian Guo, and Zhu Ming Cao. "The Research of Area Network Control of Vehicle Lights Hardware System." Journal of Physics: Conference Series 1087 (September 2018): 042024. http://dx.doi.org/10.1088/1742-6596/1087/4/042024.

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45

Hui, J. Y., J. Zhang, and Jun Li. "Quality-of-service control in GRAMS for ATM local area network." IEEE Journal on Selected Areas in Communications 13, no. 4 (May 1995): 700–709. http://dx.doi.org/10.1109/49.382160.

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46

An, Wei, Fang-Ming Shao, and Huajun Meng. "The coverage-control optimization in sensor network subject to sensing area." Computers & Mathematics with Applications 57, no. 4 (February 2009): 529–39. http://dx.doi.org/10.1016/j.camwa.2008.10.095.

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47

David, Yair Bar, Tal Geller, Ilai Bistritz, Irad Ben-Gal, Nicholas Bambos, and Evgeni Khmelnitsky. "Wireless Body Area Network Control Policies for Energy-Efficient Health Monitoring." Sensors 21, no. 12 (June 21, 2021): 4245. http://dx.doi.org/10.3390/s21124245.

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Wireless body area networks (WBANs) have strong potential in the field of health monitoring. However, the energy consumption required for accurate monitoring determines the time between battery charges of the wearable sensors, which is a key performance factor (and can be critical in the case of implantable devices). In this paper, we study the inherent trade-off between the power consumption of the sensors and the probability of misclassifying a patient’s health state. We formulate this trade-off as a dynamic problem, in which at each step, we can choose to activate a subset of sensors that provide noisy measurements of the patient’s health state. We assume that the (unknown) health state follows a Markov chain, so our problem is formulated as a partially observable Markov decision problem (POMDP). We show that all the past measurements can be summarized as a belief state on the true health state of the patient, which allows tackling the POMDP problem as an MDP on the belief state. Then, we empirically study the performance of a greedy one-step look-ahead policy compared to the optimal policy obtained by solving the dynamic program. For that purpose, we use an open-source Continuous Glucose Monitoring (CGM) dataset of 232 patients over six months and extract the transition matrix and sensor accuracies from the data. We find that the greedy policy saves ≈50% of the energy costs while reducing the misclassification costs by less than 2% compared to the most accurate policy possible that always activates all sensors. Our sensitivity analysis reveals that the greedy policy remains nearly optimal across different cost parameters and a varying number of sensors. The results also have practical importance, because while the optimal policy is too complicated, a greedy one-step look-ahead policy can be easily implemented in WBAN systems.
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48

Zhang, Zhenghua, Jin Qian, Chongxin Fang, Guoshu Liu, and Quan Su. "Coordinated Control of Distributed Traffic Signal Based on Multiagent Cooperative Game." Wireless Communications and Mobile Computing 2021 (June 1, 2021): 1–13. http://dx.doi.org/10.1155/2021/6693636.

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In the adaptive traffic signal control (ATSC), reinforcement learning (RL) is a frontier research hotspot, combined with deep neural networks to further enhance its learning ability. The distributed multiagent RL (MARL) can avoid this kind of problem by observing some areas of each local RL in the complex plane traffic area. However, due to the limited communication capabilities between each agent, the environment becomes partially visible. This paper proposes multiagent reinforcement learning based on cooperative game (CG-MARL) to design the intersection as an agent structure. The method considers not only the communication and coordination between agents but also the game between agents. Each agent observes its own area to learn the RL strategy and value function, then concentrates the Q function from different agents through a hybrid network, and finally forms its own final Q function in the entire large-scale transportation network. The results show that the proposed method is superior to the traditional control method.
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49

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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Kao, Tain-Lieng, San-Yuan Wang, and Ming-Hua Wu. "Development of Automatic Verification Environment for In-Vehicle Controller Area Network." International Journal on Recent and Innovation Trends in Computing and Communication 7, no. 5 (May 20, 2019): 05–10. http://dx.doi.org/10.17762/ijritcc.v7i5.5298.

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Due to the development of modern techniques, in the recent years, electronic vehicles and autopilot systems have beensignificant emerged in automobile and IT industrial. This leads the electronics automotive systems and auto-control systems consistedof a lot of high performance Electronic Control Units(ECUs) connected by controller area network (CAN). For realizing morecomplicated design in ECUs, this work integrates real-time OS and network management function. The results improve the CANbusnodes&#39; designing level to as a gateway to interconnect CANbus nodes. As the number of CANbus nodes increase, the verification processis more and more complicated and takes much time. For speeding up the verification process, this work uses CANoe package toprogram the testing script for automotive verification environment. Then the engineer can connect the testing device by CAN to theenvironment for automatic verification. The engineer can define the network messages of the CANbus nodes and tune the design asthe validating progress. The testing results present as XML format and can be transferred to HTML pages for readability. Hence, thiswork realizes an automatic verification environment for CANbus in-vehicle networks.
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