An IEEE 802.11x Implementation for V2X Communications Towards IoT and Big Data

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 504)


Green transportation is an integral part of green environment concept. Next generation transportation systems are desired to achieve high performances with reduced fuel consumption and carbon emission. In this regard, vehicle maintenance status along with some other critical diagnostic data should steadily be checked and tracked. It is known that vehicles that are poorly maintained or not maintained in a timely manner lead to both emissions exceeding the standards and low performance. Vehicle telematics along with some other conveniences such as infotainment systems, location–based services and applications are expected to improve safety, availability, and reliability of next generation transportation systems. From this perspective, intelligent transport systems (ITS) seems to be a promising solution candidate which encompasses all of the aforementioned topics as well as vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-cloud (V2C) opportunities. Therefore, in this study, a conceptual model that links vehicle telematics to the cloud along with V2V communications facility is proposed and a prototype based on IEEE 802.11x protocol suite is implemented. Mobile data collection and measurements are obtained. Results are presented along with relevant discussions as well as the end point storage and usage of the data are introduced. In the proposed model, the mobile data are transferred to cloud computing platform to create the big data for further research opportunities for car manufacturers, policy makers, and researchers with the concern of ethics and security issues.


Communications network Green communications Network security Vehicle-to-vehicle communications 


  1. 1.
    Servin O, Boriboonsomsin K, Barth M (2006) An energy and emissions impact evaluation of intelligent speed adaptation. In: IEEE intelligent transportation systems conference. Toronto, Ontario, Canada, pp 1257–1262Google Scholar
  2. 2.
    Tielert T, Killat M, Hartenstein H, Luz R, Hausberger S, Benz T (2010) The impact of traffic-light-to-vehicle communication on fuel consumption and emissions. In: Internet of things (IOT), Tokyo, Japan, pp 1–8Google Scholar
  3. 3.
    Morris BT, Tran C, Scora G, Trivedi MM, Barth MJ (2012) Real-time video-based traffic measurement and visualization system for energy/emissions. IEEE Trans Intell Transp Syst 13(4):1667–1678CrossRefGoogle Scholar
  4. 4.
    Brennand CARL, da Cunha FD, Maia G, Cerqueira E, Loureiro AAF, Villas LA (2016) Fox: a traffic management system of computer-based vehicles fog. In: 2016 IEEE Symposium on Computers and Communication (ISCC), pp 982–987Google Scholar
  5. 5.
    Boriboonsomsin K, Barth MJ, Zhu W, Vu A (2012) Eco-routing navigation system based on multisource historical and real-time traffic information. IEEE Trans Intell Transp Syst 13(4):1694–1704CrossRefGoogle Scholar
  6. 6.
    d’Orey PM, Ferreira M (2014) Its for sustainable mobility: a survey on applications and impact assessment tools. IEEE Trans Intell Transp Syst 15(2):477–493CrossRefGoogle Scholar
  7. 7.
    Hashem IAT, Yaqoob I, Anuar NB, Mokhtar S, Gani A, Ullah Khan S (2015) The rise of big data on cloud computing: review and open research issues. Inf Syst 47:98–115CrossRefGoogle Scholar
  8. 8.
    Lv Y, Duan Y, Kang W, Li Z, Wang FY (2015) Traffic flow prediction with big data: a deep learning approach. IEEE Trans Intell Transp Syst 16(2):865–873Google Scholar
  9. 9.
    Laney D (2001) 3d data management: controlling data volume, velocity, and variety. Application delivery strategiesGoogle Scholar
  10. 10.
    Assunção MD, Calheiros RN, Bianchi S, Netto MA, Buyya R (2014) Big data computing and clouds: trends and future directions. J Parallel Distrib ComputGoogle Scholar
  11. 11.
    Andreolini M, Colajanni M, Pietri M, Tosi S (2014) Adaptive, scalable and reliable monitoring of big data on clouds. J Parallel Distrib ComputGoogle Scholar
  12. 12.
    Messelodi S, Modena CM, Zanin M, De Natale FG, Granelli F, Betterle E, Guarise A (2009) Intelligent extended floating car data collection. Expert Syst Appl 36(3):4213–4227CrossRefGoogle Scholar
  13. 13.
    Tiedong W, Jingjing H (2014) Applying floating car data in traffic monitoring. In: 2014 IEEE international conference on control science and systems engineering, pp 96–99Google Scholar
  14. 14.
    Wei L, Zhu H, Cao Z, Dong X, Jia W, Chen Y, Vasilakos AV (2014) Security and privacy for storage and computation in cloud computing. Inf Sci 258:371–386CrossRefGoogle Scholar
  15. 15.
    Kshetri N (2013) Privacy and security issues in cloud computing: the role of institutions and institutional evolution. Telecommun Policy 37(4–5):372–386CrossRefGoogle Scholar
  16. 16.
    Adjei JK (2014) Explaining the role of trust in cloud service acquisition. In: 2nd IEEE international conference on mobile cloud computing, services, and engineering, pp 283–288Google Scholar
  17. 17.
    Kemp R (2014) Legal aspects of managing big data. Comput Law Secur Rev 30(5):482–491CrossRefGoogle Scholar
  18. 18.
    Lin W, Dou W, Zhou Z, Liu C (2014) A cloud-based framework for home-diagnosis service over big medical data. J Syst SoftwGoogle Scholar
  19. 19.
    Yang J-J, Li J-Q, Niu Y (2015) A hybrid solution for privacy preserving medical data sharing in the cloud environment. Future Gener Comput Syst 43–44:74–86CrossRefGoogle Scholar
  20. 20.
    Zhao J, Wang L, Tao J, Chen J, Sun W, Ranjan R, Kolodziej J, Streit A, Georgakopoulos D (2014) A security framework in g-hadoop for big data computing across distributed cloud data centres. J Comput Syst Sci 80(5):994–1007MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Electrical–Electronics EngineeringIstanbul Commerce UniversityIstanbulTurkey
  2. 2.Department of Computer EngineeringIstanbul Commerce UniversityIstanbulTurkey
  3. 3.Department of Mechatronics EngineeringIstanbul Commerce UniversityIstanbulTurkey
  4. 4.Center for Applied Research on Informatics Technologies (CARIT)Istanbul Commerce UniversityIstanbulTurkey

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