Abstract
Nowadays many Internet of Things solutions used embedded systems that are not equipped with real-time clock. Some of them are used in Unmanned Ground Vehicle platforms that require precise measurements and calculations to move properly and safely. Often such systems are realised as soft real-time Linux systems equipped with real-time path. To improve quality of such systems it is necessary to determine a minimum cycle of time that will allow a stable work of embedded system. In this paper, the authors focus on approaches to verify the performance of Rasbian system in various use cases to obtain a minimum jitter and duration of cycle time for real–time applications that requires a guaranteed response within strict timing constraints of UGV. Additionally, was described a simple approach to determine a minimum cycle time period for a soft real-time system implemented on Raspberry Pi3 based on the maximum confidence interval.
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References
Cyber-Physical Systems (CPS) (NSF17529) | NSF - National Science Foundation. https://www.nsf.gov/pubs/2017/nsf17529/nsf17529.htm
Wu, F.-J., Kao, Y.-F., Tseng, Y.-C.: From wireless sensor networks towards cyber physical systems. Pervasive Mobile Comput. 7, 397–413 (2011). https://doi.org/10.1016/j.pmcj.2011.03.003
Wang, Y., Vuran, M.C., Goddard, S.: Cyber-physical systems in industrial process control. ACM SIGBED Rev. 5, 1–2 (2008). https://doi.org/10.1145/1366283.1366295
Ziebinski, A., Bregulla, M., Fojcik, M., Kłak, S.: Monitoring and controlling speed for an autonomous mobile platform based on the hall sensor. In: Nguyen, N.T., Papadopoulos, G.A., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds.) ICCCI 2017. LNCS (LNAI), vol. 10449, pp. 249–259. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67077-5_24
Cupek, R., Huczala, L.: Passive PROFIET I/O OPC DA Server. Presented at the IEEE Conference on Emerging Technologies & Factory Automation. ETFA 2009 (2009)
Kobylecki, M., Kania, D.: FPGA implementation of bit controller in double-tick architecture. Presented at the AIP Conference Proceedings (2017). https://doi.org/10.1063/1.5012400
Li, R., Liu, C., Luo, F.: A design for automotive CAN bus monitoring system, September (2008). https://doi.org/10.1109/VPPC.2008.4677544
Jazdi, N.: Cyber physical systems in the context of Industry 4.0. Presented at the 2014 IEEE International Conference on Automation, Quality and Testing, Robotics, May 2014. https://doi.org/10.1109/AQTR.2014.6857843
Baheti, R., Gill, H.: Cyber-physical systems. the impact of control technology. IEEE Control Syst. Soc. 12, 161–166 (2011)
Buk, B., Mrozek, D., Małysiak-Mrozek, B.: Remote video verification and video surveillance on android-based mobile devices. In: Gruca, D.A., Czachórski, T., Kozielski, S. (eds.) Man-Machine Interactions 3. AISC, vol. 242, pp. 547–557. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-02309-0_60
Shafiq, S.I., Sanin, C., Szczerbicki, E., Toro, C.: Virtual engineering object/virtual engineering process: a specialized form of cyber physical system for Industrie 4.0. Procedia Comput. Sci. 60, 1146–1155 (2015). https://doi.org/10.1016/j.procs.2015.08.166
Marwedel, P.: Embedded System Design: Embedded Systems Foundations of Cyber-Physical Systems. Springer, Netherlands (2010). https://doi.org/10.1007/978-94-007-0257-8
Grzechca, D., Ziębiński, A., Rybka, P.: Enhanced reliability of ADAS sensors based on the observation of the power supply current and neural network application. In: Nguyen, N.T., Papadopoulos, G.A., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds.) ICCCI 2017. LNCS (LNAI), vol. 10449, pp. 215–226. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67077-5_21
Ji, Z., Ganchev, I., O’Droma, M., Zhao, L., Zhang, X.: A cloud-based car parking middleware for IoT-based smart cities: design and implementation. Sensors 14, 22372–22393 (2014). https://doi.org/10.3390/s141222372
Fleming, W.J.: Overview of automotive sensors. IEEE Sens. J. 1, 296–308 (2001). https://doi.org/10.1109/7361.983469
Bengler, K., Dietmayer, K., Farber, B., Maurer, M., Stiller, C., Winner, H.: Three decades of driver assistance systems: review and future perspectives. IEEE Intell. Transp. Syst. Mag. 6, 6–22 (2014). https://doi.org/10.1109/MITS.2014.2336271
Garcia, F., Martin, D., de la Escalera, A., Armingol, J.M.: Sensor fusion methodology for vehicle detection. IEEE Intell. Transp. Syst. Mag. 9, 123–133 (2017). https://doi.org/10.1109/MITS.2016.2620398
Behere, S., Törngren, M.: A functional architecture for autonomous driving. Presented at the Proceedings of the First International Workshop on Automotive Software Architecture (2015)
Jia, X., Hu, Z., Guan, H.: A new multi-sensor platform for adaptive driving assistance system (ADAS). In: 2011 9th World Congress on Intelligent Control and Automation, pp. 1224–1230 (2011). https://doi.org/10.1109/WCICA.2011.5970711
Pułka, A., Milik, A.: Dynamic reconfiguration of threads in real-time system working on precision time regime. Presented at the 2010 International Conference on Signals and Electronic Systems (ICSES) (2010)
Murikipudi, A., Prakash, V., Vigneswaran, T.: Performance analysis of real time operating system with general purpose operating system for mobile robotic system. Indian J. Sci. Technol. 8, 1–6 (2015). https://doi.org/10.17485/ijst/2015/v8i19/77017
Vijayakumar, N., Ramya, R.: The real time monitoring of water quality in IoT environment. In: 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), pp. 1–5. IEEE, Coimbatore (2015). https://doi.org/10.1109/ICIIECS.2015.7193080
Mollison, M.S., Erickson, J.P., Anderson, J.H., Baruah, S.K., Scoredos, J.A.: Mixed-criticality real-time scheduling for multicore systems. In: 2010 10th IEEE International Conference on Computer and Information Technology, pp. 1864–1871. IEEE, Bradford (2010). https://doi.org/10.1109/CIT.2010.320
Bruzzone, G., Caccia, M., Bertone, A., Ravera, G.: Standard Linux for embedded real-time manufacturing control systems. In: 2006 14th Mediterranean Conference on Control and Automation, pp. 1–6. IEEE, Ancona (2006). https://doi.org/10.1109/MED.2006.328773
Sidzina, M., Kwiecien, A., Stoj, J.: Shortening of the automata cycle of industrial communication system nodes. In: Lee, G. (ed.) 2nd International Conference on Advances in Computer Science and Engineering, pp. 169–175, France (2013)
Ziebinski, A., Cupek, R., Drewniak, M., Wolny, B.: Soft real-time systems for low-cost unmanned ground vehicle. In: Nguyen, N.T., Chbeir, R., Exposito, E., Aniorte, P., Trawiński, B. (eds.): ICCCI 2019, LNAI, vol. 11684, pp. 196–206. Springer, Heidelberg (2019)
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This publication was supported as part of the Rector’s grant in the field of scientific research and development works. Silesian University of Technology, grant no. 02/020/RGJ18/0124.
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Ziebinski, A., Cupek, R., Grzechca, D. (2019). The Cycle Time Determination for a Soft Real-Time System. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11684. Springer, Cham. https://doi.org/10.1007/978-3-030-28374-2_18
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