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Emerging technologies and research challenges for intelligent transportation systems: 5G, HetNets, and SDN

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Abstract

With the rapid advance of the intelligent transportation system (ITS), the vehicular networks have a potential importance. Currently, these networks are suffering a major challenge due to the widespread demand for services associated with shipping safer, more efficient, cheaper, infotainment, and more sustainable. Researchers and companies are working to generate novel applications. Intelligent Transportation Systems that aim to reorganize the operation of vehicles. With the need for technological convergence in communications, it is necessary to refer of vehicular heterogeneous, autonomous, flexible and programmable networks. New emerging technologies open up interesting gaps for research and development of future networks. In this paper, we present an overview on wireless technologies and potential challenges to provide vehicle-to-x connectivity; such as the connected vehicles or self-driving cars, that will be the first robots that have a direct effect on the daily lives of millions of people. Particularly, we examine the 5G architecture designed with Software Defined Networking and their role in Heterogeneous Networks.

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References

  1. Karagiannis, G., Altintas, O., et al.: Vehicular networking: a survey and tutorial on requirements, architectures, challenges, standards and solutions. IEEE Commun. Surv. Tutor. 13(4), 584–616 (2011)

    Article  Google Scholar 

  2. Chowdhury, M., Dey, K.: Intelligent transportation systems-a frontier for breaking boundaries of traditional academic engineering disciplines [education]. IEEE Intell. Transp. Syst. Mag. 8(1), 4–8 (2016)

    Article  Google Scholar 

  3. Coppola, R., Morisio, M.: Connected car: technologies, issues, future trends. ACM Comput. Surv. (CSUR) 49(3), 46 (2016)

    Article  Google Scholar 

  4. Trivisonno, R., Guerzoni, R., et al.: SDN-based 5G mobile networks: architecture, functions, procedures and backward compatibility. Trans. Emerg. Telecommun. Technol. 26(1), 82–92 (2015)

    Article  Google Scholar 

  5. Zheng, K., Zheng, Q., Chatzimisios, P., Xiang, W., Zhou, Y.: Heterogeneous vehicular networking: a survey on architecture, challenges, and solutions. IEEE Commun. Surv. Tutor. 17(4), 2377–2396 (2015)

    Article  Google Scholar 

  6. Silva, R., Noguchi, S., et al.: Standards for cooperative intelligent transportation systems: a proof of concept. In: The tenth advanced international conference on telecommunications (AICT) (2014)

  7. ETSITR102638, intelligent transport system (ITS); vehicular communications; basic set of applications; definition, ETSI Std. ETSI ITS specification TR 102 638 version 1.1.1 (2009)

  8. Maier, M., Chowdhury, M., Rimal, B.P., Van, D.P.: The tactile internet: vision, recent progress, and open challenges. IEEE Commun. Mag. 54(5), 138–145 (2016)

    Article  Google Scholar 

  9. Aijaz, A., Simsek, M., Dohler, M., Fettweis, G.: Shaping 5G for the tactile internet. In: 5G mobile communications, pp. 677–691. Springer International Publishing (2017)

  10. Simsek, M., Aijaz, A., Dohler, M., Sachs, J., Fettweis, G.: 5G-enabled tactile internet. IEEE J. Sel. Areas Commun. 34(3), 460–473 (2016)

    Article  Google Scholar 

  11. Fettweis, G.P.: The tactile internet: applications and challenges. IEEE Veh. Technol. Mag. 9(1), 64–70 (2014)

    Article  Google Scholar 

  12. Gartner: Gartner says the self-driving vehicle will be the first pervasive, personal robots that most consumers will experience in their lifetime. http://www.gartner.com/newsroom/id/2884317 (2015)

  13. Swan, M.: Connected car: quantified self becomes quantified car. J. Sens. Actuator Netw. 4(1), 2–29 (2015)

    Article  MathSciNet  Google Scholar 

  14. Gartner.: Hype cycle for networking and communications, 2015 G00277750 (2015)

  15. ITERIS Website, Official web site of the (National ITS Architecture), Website (2011). http://www.iteris.com/itsarch/index.htm. Accessed 2 Dec 2016

  16. Wu, X., Subramanian, S., Guha, R., White, R.G., Li, J., Lu, K.W., Zhang, T.: Vehicular communications using DSRC: challenges, enhancements, and evolution. IEEE J. Sel. Areas Commun. 31(9), 399–408 (2013)

    Article  Google Scholar 

  17. NTCIP ISO/DTS 17423 Intelligent transport systems—cooperative systems—ITS application requirements for automatic selection of communication interfaces (2013)

  18. Heise, C. D., Perallos, A., Hernandez-Jayo, U., Onieva, E., García-Zuazola, I. J.: Architecture reference of ITS in the USA. In: Intelligent Transport Systems Technologies and Applications, 1st edn, pp. 18–35 (2015)

  19. ITU ITU-T’s definition of NGN. http://www.itu.int/en/ITU-T/gsi/ngn/Pages/definition.aspx. Accessed 6 July 2015

  20. Dhaka, S., Gambhir, A.: 5G: a superpower over 5G WIFI. Int. J. Comput. Sci. Netw. Secur. (IJCSNS) 15(6), 31 (2015)

    Google Scholar 

  21. Kumaravel, K.: Comparative study of 3G and 4G in mobile technology. Inte. J. Comput. Sci. 8(5), 256–263 (2011)

    Google Scholar 

  22. Gupta, P., Patil, P.: 4G-a new era in wireless telecommunication. Magister Program in S/W Engineering, Malardalen University (2013)

  23. Williams, C., Strusani, et al.: The economic impact of next-generation mobile services: how 3G Connections and the use of mobile data impact GDP growth. The Global Information Technology Report, 77–80 (2013)

  24. Hyojoon, K., Feamster, N.: Improving network management with software defined networking. IEEE Commun. Mag. 51, 114–119 (2013)

    Google Scholar 

  25. Mendonca, M., Astuto, B.N., Obraczka, K., Turletti, T.: Software defined networking for heterogeneous networks. IEEE MMTC E-Lett. 8(3), 36–39 (2013)

    Google Scholar 

  26. Lee, J., Sharma, P., Tourrilhes, J., McGeer, R., Brassil, J., Bavier, A.: Network integrated transparent TCP accelerator. In: 2010 24th IEEE international conference on advanced information networking and applications (AINA), pp. 285–292 (2010)

  27. Gartner: Hype cycle for the internet of things, G00272399 (2015). Accessed 21 July 2015

  28. United State Department of Transportation. IEEE 1609—family of standards for wireless access in vehicular environments (WAVE) (2016)

  29. McKeown, N. et al.: OpenFlow: enabling innovation in campus networks, ACM CCR (2008)

  30. Chin, W.H., Fan, Z., Haines, R.: Emerging technologies and research challenges for 5G wireless networks. IEEE Wirel. Commun. 21(2), 106–112 (2014)

    Article  Google Scholar 

  31. Santos, M. A., De Oliveira, et al.: Software-defined networking based capacity sharing in hybrid networks. In: 2013 21st IEEE international conference on network protocols (ICNP), pp. 1–6. IEEE (2013)

  32. Akyildiz, I.F., Wang, P., Lin, S.C.: SoftAir: a software defined networking architecture for 5G wireless systems. Comput. Netw. 85, 1–18 (2015)

    Article  Google Scholar 

  33. Sun, S., Gong, L., Rong, B., Lu, K.: An intelligent SDN framework for 5G heterogeneous networks. IEEE Commun. Mag. 53(11), 142–147 (2015)

    Article  Google Scholar 

  34. Chen, M., Mao, S., Liu, Y.: Big data: a survey. Mob. Netw. Appl. 19(2), 171–209 (2014)

    Article  Google Scholar 

  35. Gantz, J., Reinsel, D.: Extracting value from chaos. IDC iview, pp. 1–12 (2011)

  36. Wu, X., Zhu, X., Wu, G.Q., Ding, W.: Data mining with big data. IEEE Trans. Knowl. Data Eng. 26(1), 97–107 (2014)

    Article  Google Scholar 

  37. Gandomi, A., Haider, M.: Beyond the hype: big data concepts, methods, and analytics. Int. J. Inf. Manag. 35(2), 137–144 (2015)

    Article  Google Scholar 

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Correspondence to Fernando Camacho.

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Camacho, F., Cárdenas, C. & Muñoz, D. Emerging technologies and research challenges for intelligent transportation systems: 5G, HetNets, and SDN. Int J Interact Des Manuf 12, 327–335 (2018). https://doi.org/10.1007/s12008-017-0391-2

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  • DOI: https://doi.org/10.1007/s12008-017-0391-2

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