Skip to main content
SpringerLink
Log in

Vehicular Cloud for Smart Driving Using Internet of Things

  • Mobile & Wireless Health
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

The vehicular cloud can be made more reliable by having minimum number of vehicles and their accessibility of the vehicles in the given lane; in addition reliability can also be made using the function called movement of vehicles. The number of vehicles present in the area determines the task that can be accessed in the area and with the help of travelling time of the vehicles the validity of the lane can be determined. In this paper, a research is carried based on the stochastic investigation on the some of attributes of traffic with the help of cloud in street portion to accept the necessary attribute prototypes. In this paper two types of activity is done, first one is free flow movement of vehicle and second one is queuing- up activity. For the first activity, a noticeable traffic model is used to find the free flow movement of the vehicle and some parameters like activity thickness, living time and quantity of vehicles. In case of second activity queuing up model is used to find queue flow and parameters like length of line and time in the line are found. The research outcome will be given to all peoples in road traffic and traffic is the problem in many developed countries and they can be free from traffic. This model suggests an alternate route for the user which is free from traffic.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. National Institute of Standards and Technology (NIST). Draft cloud computing synopsis and recommendations definition of cloud computing, 2011.

  2. Devi, G. U., Balan, E. V., Priyan, M. K., and Gokulnath, C., Mutual authentication scheme for IoT application. Indian J. Sci. Technol, 8(26), 2015.

  3. Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., and Zaharia, M., A view of cloud computing. Commun. ACM 53(4):50–58, 2010.

    Article  Google Scholar 

  4. Balan, E. V., Priyan, M. K., Gokulnath, C., and Devi, G. U., Fuzzy based intrusion detection systems in MANET. Proc. Comput. Sci. 50:109–114, 2015.

    Article  Google Scholar 

  5. Gokulnath, C., Priyan, M. K., Balan, E. V., Prabha, K. R., and Jeyanthi, R., Preservation of privacy in data mining by using PCA based perturbation technique. In smart technologies and Management for Computing, communication, controls, energy and materials (ICSTM), 2015 international conference on (pp. 202-206). IEEE, 2015.

  6. Olariu, S., Khalil, I., and Abuelela, M., Taking vanet to the clouds. Int J. Pervas. Comput. Commun. 7(1):7–21, 2011.

    Article  Google Scholar 

  7. Lokesh, S., Kumar, P. M., Devi, M. R., Parthasarathy, P., and Gokulnath, C., An automatic tamil speech recognition system by using bidirectional recurrent neural network with self-organizing map. Neural Comput. Appl., 1–11, 2018.

  8. Chandra, I., Sivakumar, N., Gokulnath, C. B., and Parthasarathy, P., IoT based fall detection and ambient assisted system for the elderly. Cluster Comput., 1–9, 2018.

  9. Khabbaz, M. J., Fawaz, W. F., and Assi, C. M., A simple free-flow traffic model for vehicular intermittently connected networks. IEEE Trans. Intell. Transport. Syst. 13(3):1312–1326, 2012.

    Article  Google Scholar 

  10. Devi, G. U., Priyan, M. K., Balan, E. V., Nath, C. G., and Chandrasekhar, M., Detection of DDoS attack using optimized hop count filtering technique. Indian J. Sci. Technol., 8(26), 2015.

  11. Priyan, M. K., Nath, C. G., Balan, E. V., Prabha, K. R., and Jeyanthi, R., Desktop phishing attack detection and elimination using TSO program. Smart Technol. Manag. Comput. Commun. Controls Energy Mater. (ICSTM), 2015 Int. Conf. 198–201, IEEE, 2015.

  12. Gokulnath, C. B., and Shantharajah, S. P., An optimized feature selection based on genetic approach and support vector machine for heart disease. Cluster Comput. 1–11, 2018.

  13. Balan, E. V., Priyan, M. K., Nath, C. G., and Devi, G. U., Efficient energy scheme for wireless sensor network application. Comput. Intell. Comput. Res. (ICCIC), 2014 IEEE Int. Conf. 1–5. IEEE, 2014.

  14. Balan, E. V., Priyan, M. K., and Devi, G. U., Hybrid architecture with misuse and anomaly detection techniques for wireless networks. Commun. Signal Process. (ICCSP), 2015 Int. Conf. 0185–0189. IEEE, 2015.

  15. Kanisha, B., Lokesh, S., Kumar, P. M., Parthasarathy, P., and Chandra Babu, G. (). Speech recognition with improved support vector machine using dual classifiers and cross fitness validation. Person. Ubiquitous Comput. 1–9, 2018.

  16. Boukerche, A., Oliveira, H. A. B. F., Nakamura, E. F., and Loureiro, A. A. F., Secure localization algorithms for wireless sensor networks. IEEE Commun. Mag. 46(4):96–101, 2008.

    Article  Google Scholar 

  17. de Oliveira, H. A. B. F., Boukerche, A., Nakamura, E. F., and Loureiro, A. A. F., An efficient directed localization recursion protocol for wireless sensor networks. IEEE Trans. Comput. 58(5):677–691, 2009.

    Article  Google Scholar 

  18. Chandra Babu, G., and Shantharajah, S. P., Optimal body mass index cutoff point for cardiovascular disease and high blood pressure. Neural Comput. Appl., 1–10, 2018.

  19. Ren, Y. and Boukerche, A., Modeling and managing the trust for wireless and mobile ad hoc networks. 2008 IEEE Int. Conf. Commun. 2129–2133, 2008.

  20. Padmavathy, T. V., Vimalkumar, M. N., Nagarajan, S., Babu, G. C., and Parthasarathy, P., Performance analysis of pre-cancerous mammographic image enhancement feature using non-subsampled shearlet transform. Multimed. Tools .Appl., 1–16, 2018.

  21. Boukerche, A., and Dzermajko, C., Performance evaluation of data distribution management strategies. Concurr. Comput.: Pract. Exper. 16(15):1545–1573, 2004.

    Article  Google Scholar 

  22. Boukerche, A., McGraw, N. J., Dzermajko, C. and Lu, K., Grid-filtered region based data distribution management in large-scale distributed simulation systems. 38th Ann. Simul. Sym. 259–266, 2005.

  23. Lokesh, S., Kumar, P. M., Devi, M. R., Parthasarathy, P., and Gokulnath, C., An Automatic Tamil Speech Recognition system by using Bidirectional Recurrent Neural Network with Self-Organizing Map. Neural Comput. Appl. 1–11.

  24. Kumar, P. M., Lokesh, S., Varatharajan, R., Gokulnath, C., and Parthasarathy, P., Cloud and IoT based disease prediction and diagnosis system for healthcare using fuzzy neural classifier. Future Gen. Comput. Syst. 2018.

  25. Boukerche, A., Zarrad, A., and Araujo, R., A cross-layer approach-based gnutella for collaborative virtual environments over mobile ad hoc networks. IEEE Trans. Parallel Distrib. Syst. 21(7):911–924, 2010.

    Article  Google Scholar 

  26. Devi, G. U., Priyan, M. K., and Gokulnath, C., Wireless camera network with enhanced SIFT algorithm for human tracking mechanism. Int. J. Internet Technol. Sec. Trans. 8(2):185–194, 2018.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Priyadarshini Engineering College, Vaniyambadi, Tamil Nadu, India

    S. Vijayarangam & J. Megalai

  2. Rathinam Technical Campus, Coimbatore, Tamil Nadu, India

    Sivakumar Krishnan

  3. Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Sivakumar Nagarajan

  4. Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India

    M. Ramya Devi

  5. Hindusthan Institute of Technology, Coimbatore, Tamil Nadu, India

    S. Lokesh

Authors
  1. S. Vijayarangam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. J. Megalai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sivakumar Krishnan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sivakumar Nagarajan
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. M. Ramya Devi
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. S. Lokesh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Ramya Devi.

Additional information

This article is part of the Topical Collection on Mobile & Wireless Health

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vijayarangam, S., Megalai, J., Krishnan, S. et al. Vehicular Cloud for Smart Driving Using Internet of Things. J Med Syst 42, 240 (2018). https://doi.org/10.1007/s10916-018-1105-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10916-018-1105-4

Keywords

Search

Navigation