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Improved performance automotive communications infrastructure using Markov chains and queuing models

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Published:09 October 2017Publication History

ABSTRACT

This study express the auto mobile substructures that in these systems a series of math model behaviors such justice, Blocking demand are not being regarded and approximations can be used for function evaluation has been mentioned. In this study a multi-server model in order to focus on mobility and also a medium access control(MAC) and a scenario with the aim of validation for approximation model are suggested that it's correctness of several factors has been considered which this simulation results through 3 output is shown the services that presented via internet, we analyze them as a line system which can contact with other auto mobiles or roader side units(RSU) in a specific environment in intelligent transportation system line model making contact (M/M/C) is based on proxy servers session initial protocol(SIP) and also for improving the performance, we use unidimensional mark of chains and for decreasing the probability of blocking and improvement of real time systems, we can use access request deadline-aware(ARAD) model which lead to %80 - %85 improvement and the probability of blacking of real time decrease about %35.

References

  1. Subramanian, S. V. and Dutta, R. "Measurements and Analysis of M/M/1 and M/M/c Queuing Models of the SIP proxy server", Proceedings of 18th International Conference on Computer Communications and Networks (ICCCN 2009), San Fransisco, USA, August 2009 Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Ingolfsson, A. and Gallop, F. "Queuing Tool Pak 4.0", University of Alberta School of Business, Edmonton, Hungary, 2003.Google ScholarGoogle Scholar
  3. Rajagopal, N. and Devetsikiotis, M. "Modeling and optimization for the design of IMS Networks", Proceedings of 39th Annu. Simulation Symp. 2006 (ANSS06), Huntsville, Alabama, USA, April 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Subramanian, S. V. and Dutta, R. "Measurements and Analysis of M/M/1 and M/M/c Queuing Models of the SIP proxy server", Proceedings of 18th International Conference on Computer Communications and Networks (ICCCN 2009), San Fransisco, USA, August 2009 Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Subramanian, S. V. and Dutta, R. "Performance and Scalability of M/M/c Based Queuing Model of the SIP proxy server - A Practical Approach", Australasian Telecommunications Networking and Application Conf. (ATNAC'09), Canberra, Australia, November 2009Google ScholarGoogle ScholarCross RefCross Ref
  6. Chatterjee, S., Tulu, B., Abhichandhani, T., and Li, H. "SIP Based Enterprise Converged Networks for Voice/Video Over IP: Implementation and Evaluation of Components", IEEE selected areas in Communications, Vol.23, No.10, Pages 1921--1933, October 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Rosenberg, J., Schulzrinne, J., Camarillo, H., Sparks, P. J., Handley, R., and Schooler, E. "SIP: Session Initiation Protocol", IETF RFC 3261, http://www.ietf.org/rfc/rfc3261.txt, June 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Johnston, A. "SIP: Understanding Session Initiation Protocol", Artech House Publishers, Volume 1, 2nd edition, Boston, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Khabbaz, M. (et. al.), "Modeling and Delay Analysis of a Retransmission-Based Bundle Delivery Scheme for Intermittent Roadside Communication Networks," IEEE Trans. on Int'l. Transp. Syst.14:2, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Fallah, Y. P. (et. al.), "Analysis of Information Dissemination in Vehicular Ad-Hoc Networks with Application to Cooperative Vehicle Safety Systems," IEEE Trans. Veh. Tech., 60:1, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  11. Ehsan Karamad and Farid Ashtiani, "A modified 802.11-based MAC scheme to assure fair access for vehicle-to-roadside communications," Computer Communication 31 (2008). pp. 2898--2906. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Sh. Zahedi, J. Bibiyaz, Analyzing the Quality of Electronic Services in Raja Pa'ssenger Trains Company, Information Technology Management journal, vol. 1, pp. 65--82 (2009).Google ScholarGoogle Scholar
  13. Kerin, Hartly, Berkowitz and Rudelious, Marketing, USA: McGraw-Hill Irwin, pp. 25--55 (2006).Google ScholarGoogle Scholar
  14. Karagiannis, G., Altintas, O., Ekici, E., Heijenk, G., Jarupan, B., Lin, K., and Weil, T. "Vehicular networking: A survey and tutorial on requirements, architectures, challenges, standards and solutions," IEEE Commun. Surveys Tuts., vol. 13, no. 4, pp. 584--616, Fourth Quarter, 2011Google ScholarGoogle ScholarCross RefCross Ref
  15. Campolo, C. and Molinaro, A. "Multichannel communications in vehicular ad hoc networks: A survey," IEEE Commun. Mag., vol. 51, no. 5, pp. 158--169, May 2013Google ScholarGoogle ScholarCross RefCross Ref
  16. Soua, A. (2013) Vehicular ad hoc networks: dissemination, data collection and routing: models and algorithms. Other {cs.OH}. Institut National des Telecommunications, 2013. English. <NNT: 2013TELE0028>. <tel- 00919774>Google ScholarGoogle Scholar
  17. Choi, Y., Kim, H., Han, S., and Han, Y. Joint Resource Allocation for Parallel Multi-Radio Access in Heterogeneous Wireless Networks, IEEE Transactions on Wireless Communications, vol. 9, no. 11, pp. 3324--3329, Nov. 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Mir, Z. H. and Filali, F. On the Performance Comparison between IEEE 802.11p and LTE-Based Vehicular Networks, 2014 IEEE 79thVehicular Technology Conference (VTC Spring), Seoul, 2014, pp. 1--5.Google ScholarGoogle ScholarCross RefCross Ref
  19. Z.H. Mir, J. Toutouh, F. Filali and E. Alba, QoS-aware Radio Access Technology (RAT) Selection for Hybrid Vehicular Network, 8thInternational Workshop on Communication Technologies for Vehicles(Nets4Cars), Lecture Notes in Computer Science (LNCS), Volume No.:9066, pp. 117--128, May, 2015 Tunisia.Google ScholarGoogle Scholar
  20. Dreyer, N., Moller, A., Mir, Z. H., Filali, F. and Kurner, T. A Data Traffic Steering Algorithm for IEEE 802.11p/LTE Hybrid Vehicular Networks, 2016 IEEE 84th Vehicular Technology Conference: VTC2016-Fall 18-21 September 2016, Montreal, Canada.Google ScholarGoogle ScholarCross RefCross Ref
  21. ETSI EN 302 6372 V1.3.2 (201411) Intelligent Transport Systems (ITS); Vehicular Communications; Basic Set of Applications; Part 2: Specification of Cooperative Awareness Basic Service, (November 2014), http://www.etsi.org/deliver/etsi_en/302600_302699/30263702/01.03.02_60/en_30263702v010302p.pdf (accessed June 2016)Google ScholarGoogle Scholar
  22. Adan, I. and Resing, J. "Queuing Theory", Class notes, Department of Computer Science and Mathematics, Eindhoven University of Technology, The Netherlands, February 2001Google ScholarGoogle Scholar
  23. CopITS: Cooperative Cars and Roads for Safer and Intelligent Transport Systems (2010-2013), http://www.copits.org (accessed January 2016).Google ScholarGoogle Scholar
  24. Adan, I. and Resing, J. "Queuing Theory", Class notes, Department of Computer Science and Mathematics, Eindhoven University of Technology, The Netherlands, February 2001.Google ScholarGoogle Scholar
  25. William J. Stewart, "Probability, Queuing Models and Markov Chains: The tools of System Performance Evaluation", Lecture Notes, Department of Computer Science, North Carolina State University, Raleigh, USA, Fall 2003Google ScholarGoogle Scholar
  26. Gallagher, B., Akatsuka, H., and Suzuki, H. "Wireless communications for vehicle safety: Radio link performance and wireless connectivity methods," IEEE Veh. Technol. Mag., vol. 1, no. 4, pp. 4--24, Dec. 2006..Google ScholarGoogle ScholarCross RefCross Ref
  27. Schoch, E. and Kargl, F. "On the efficiency of secure beaconing in VANETs," in Proc. ACM WiSec, New York, NY, USA, 2010, pp. 111--116. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Other conferences
      ICIME 2017: Proceedings of the 9th International Conference on Information Management and Engineering
      October 2017
      233 pages
      ISBN:9781450353373
      DOI:10.1145/3149572

      Copyright © 2017 ACM

      © 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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      Publication History

      • Published: 9 October 2017

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