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Using Models for Communication in Cyber-Physical Systems

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Mission-Oriented Sensor Networks and Systems: Art and Science

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 164))

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Abstract

One of the main components of cyber-physical systems (CPS) is the underlying communication mechanism that enables control and decision-making. Communication has traditionally taken the form of sensing a physical phenomenon, or a cyber process, and then transmitting the sensed data to other entities within the system. With CPS being in general much more complex than a single physical or cyber process, the requirements on communication and data content are high. Therefore, communication of all the required information for control of a CPS may become a challenge. In this chapter, we present a new paradigm in communication which utilizes communication of models and model updates rather than raw sensed data. This approach, which transforms overall communication structure, has the potential to considerably reduce the communication load, and provide a mechanism for richer understanding of the processes whose data is being received over a communication link. We take the example of a vehicular CPS that relies on communication for collision avoidance and demonstrate the effectiveness of the model-based communication (MBC) concept.

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References

  1. Huang, C.-L., Fallah, Y.P., Sengupta, R., Krishnan, H.: Adaptive intervehicle communication control for cooperative safety systems. IEEE Network 24(1), 6–13 (2010)

    Article  Google Scholar 

  2. Xu, Y., Hespanha, J.: Estimation under uncontrolled and controlled communication in networked control systems. In: Proceedings of Conference on Decision and Control, Dec. 2005

    Google Scholar 

  3. Vehicle Safety Communications—Applications (VSC-A) Final Report, Technical Report DOT HS 811 492A, September 2011

    Google Scholar 

  4. Rezaei, S., Sengupta, R., Krishnan, H., Guan, X., Bhatia, R.: Tracking the position of neighboring vehicles using wireless communications. Elsevier J. Transp. Res. Part C Emerg. Technol. SI Veh. Commun. Netw. 18(3), 335–350 (2010)

    Article  Google Scholar 

  5. IEEE 802.11 WG, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, IEEE (2007)

    Google Scholar 

  6. SAE J2735 standard, Dedicated Short Range Communications (DSRC) Message Set Dictionary, March 2016

    Google Scholar 

  7. SAE J2945/1 standard, On-Board System Requirements for V2V Safety Communications (2017)

    Google Scholar 

  8. Fallah, Y.P., Khandani, M.K.: Analysis of the coupling of communication network and safety application in cooperative collision warning systems. In: Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems. ACM (2015)

    Google Scholar 

  9. Fallah, Y.P.: A model-based communication approach for distributed and connected vehicle safety systems. In: Proceedings of the IEEE Systems Conference (2016)

    Google Scholar 

  10. Moradi-Pari, E., Mahjoub, H.N., Kazemi, H., Fallah, Y.P.: Utilizing model-based communication and control for cooperative automated vehicle applications. IEEE Trans. Intell. Veh. (2017)

    Google Scholar 

  11. Yang, Q.: A Simulation Laboratory for Evaluation of Dynamic Traffic Management Systems. Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, vol. 193 (1997)

    Google Scholar 

  12. Sekizawa, S., Inagaki, S., Suzuki, T., Hayakawa, S., Tsuchida, N., Tsuda, T., Fujinami, H.: Modeling and recognition of driving behavior based on stochastic switched ARX model. IEEE Trans. Intell. Transp. Syst. 8(4), 593–606 (2007)

    Article  Google Scholar 

  13. Kim, J.H., Hayakawa, S., Suzuki, T., Hayashi, K., Okuma, S., Tsuchida, N., Shimizu, M., Kido, S.: Modeling of driver’s collision avoidance maneuver based on controller switching model. IEEE Trans. Syst. Man Cybern. B Cybern. 35(6), 1131–1143 (2005)

    Article  Google Scholar 

  14. Okuda, H., Ikami, N., Suzuki, T., Tazaki, Y., Takeda, K.: Modeling and analysis of driving behavior based on a probability-weighted ARX model. In: IEEE Trans. Intell. Transp. Syst. 14(1), 98–112 (2013)

    Article  Google Scholar 

  15. Alur, R., Dill, D.L.: A theory of timed automata. Theoret. Comput. Sci. 126(2), 183–235 (1994)

    Article  MathSciNet  Google Scholar 

  16. Lynch, N., Segala, R., Vaandrager, F.: Hybrid i/o automata. Inf. Comput. 185(1), 105–157 (2003)

    Article  MathSciNet  Google Scholar 

  17. Hespanha, J.: Modeling and analysis of networked control systems using stochastic hybrid systems. IFAC Ann. Rev. Control 38(2), 155–170 (2014)

    Article  Google Scholar 

  18. Hu, J., Lygeros, J., Sastry, S.: Towards a theory of stochastic hybrid systems. In: Hybrid Systems: Computation and Control. LNCS 1790, pp. 160–173. Springer, Heidelberg, Germany (2000)

    Google Scholar 

  19. Kiefer, R., Cassar, M.T., Flannagan, C.A., LeBlanc, D.J., Palmer, M.D., Deering, R.K., Shulman, M.A.: Forward collision warning requirements project: refining the CAMP crash alert timing approach by examining ‘last-second’ braking and lane change maneuvers under various kinematic conditions. Report No. DOT-HS-809-574. Washington, DC: National Highway Traffic Safety Administration (2003)

    Google Scholar 

  20. Dingus, T., Klauer, S.G., Neale, V.L., Peterson, A., Lee, S.E., Sudweeks, J., Perez, M.A., Hankey, J., Ramsey, D., Gupta, S., Bucher, C., Doerzaph, Z.R., Jarmeland, J., Knipling, R.R.: The 100-Car Naturalistic Driving Study, Phase II—Results of the 100-Car Field Experiment. National Highway Traffic Safety Administration, Washington, DC (2006)

    Google Scholar 

  21. Lee, K., Peng, H.: Evaluation of automotive forward collision warning and collision avoidance algorithms. Veh. Syst. Dyn. 43(10) (2005)

    Article  Google Scholar 

  22. Fallah, Y.P., Khandani, M.K.: Context and network aware communication for connected vehicle safety applications. In: IEEE Intelligent Transportation Systems Magazine (2016)

    Google Scholar 

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Correspondence to Yaser P. Fallah .

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Fallah, Y.P. (2019). Using Models for Communication in Cyber-Physical Systems. In: Ammari, H. (eds) Mission-Oriented Sensor Networks and Systems: Art and Science. Studies in Systems, Decision and Control, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-319-92384-0_3

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  • DOI: https://doi.org/10.1007/978-3-319-92384-0_3

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