Advertisement

Cloud-Based Secured VANET with Advanced Resource Management and IoV Applications

  • Sachin SharmaEmail author
  • Seshadri Mohan
Chapter

Abstract

In this chapter, we propose to integrate cloud computing with Vehicular Ad Hoc NETworks (VANETs) so that the vehicles in the network can share network resources and avail of a variety of information collected by them to make useful decisions. We present an architecture that includes a cloud-based VANET. Then, we study the Internet of Vehicles (IoV) application management system in this cloud-based VANET. The proposed architecture facilitates the recognition of available resources in real time. In addition, it provides cloud-based IoV applications to cloud-based VANET enabled vehicles. The presented work also demonstrates a security algorithm suitable for a cloud-based VANET. We propose a distributed methodology for a secure vehicular network to communicate; and demonstrate the potential of our architecture for real-time access to IoV applications in cloud-based VANET environment.

Keywords

Cloud computing Internet of Vehicles IoV Vehicular adhoc network VANET Internet of Things IoT Autonomous vehicles Security Intelligent transport systems 

References

  1. 1.
    Gerla M, Lee EK, Pau G, Lee U (2014) Internet of vehicles: from intelligent grid to autonomous cars and vehicular clouds. In: Proceedings of the IEEE world forum internet things (WF-IoT), pp 241–246, Mar 2014Google Scholar
  2. 2.
    Sharma S, Mohan S (2016) Cognitive radio adhoc vehicular network (VANET): architecture, applications, security requirements and challenges. In: IEEE international conference on advanced networks and telecommunications systems (ANTS). IEEE, pp 1–6Google Scholar
  3. 3.
    Fangchun Y, Shangguang W, Jinglin L, Zhihan L, Qibo S (2014) An overview of internet of vehicles. China Commun 11(10):1–15Google Scholar
  4. 4.
    Jiang X, Cao X, Du DHC (2014) Multihop transmission and retransmission measurement of real-time video streaming over DSRC devices. In: Proceedings of the IEEE 15th international symposium on world wireless, mobile multimedia network (WoWMoM), pp 1–9, June 2014Google Scholar
  5. 5.
    Sharma S, Mohan S (2016) Dynamic spectrum leasing methodology (DSLM): a game theoretic approach. In: 2016 IEEE 37th Sarnoff symposium. IEEE, pp 43–46Google Scholar
  6. 6.
    Ma T et al (2015) Social network and tag sources based augmenting collaborative recommender system. IEICE Trans Inf Syst E98-D(4):902–910CrossRefGoogle Scholar
  7. 7.
    Fu Z, Sun X, Liu Q, Zhou L, Shu J (2015) Achieving efficient cloud search services: multi-keyword ranked search over encrypted cloud data supporting parallel computing. IEICE Trans Commun 98(1):190–200CrossRefGoogle Scholar
  8. 8.
    Chen J et al (2011) Measuring the performance of movement assisted certificate revocation list distribution in VANET. Wirel Commun Mob Comput 11(7):888–898CrossRefGoogle Scholar
  9. 9.
    Su K, Li J, Fu H (2011) Smart city and the applications. In: Proceedings of the IEEE international conference on electronics, communications and control (ICECC), Zhejiang, China, pp 1028–1031, Sept 2011Google Scholar
  10. 10.
    Campolo C, Iera A, Molinaro A, Paratore SY, Ruggeri G (2012) SMARTCAR: an integrated smartphone-based platform to support traffic management applications. In: Proceedings of the IEEE international workshop vehicular traffic management for smart cities (VTM), Dublin, Ireland, pp 1–6, Nov 2012Google Scholar
  11. 11.
    Amadeo M, Campolo C, Molinaro A (2012) Enhancing IEEE 802.11p/WAVE to provide infotainment applications in VANETs. Ad Hoc Netw 10(2):253–269CrossRefGoogle Scholar
  12. 12.
    Guerrero-Ibez JA, Flores-Corts C, Zeadally S (2013) Vehicular adhoc networks (VANETs): architecture, protocols and applications. In: Next-generation wireless technologies. Springer, London, U.K., pp 49–70Google Scholar
  13. 13.
    Aslam B, Wang P, Zou CC (2013) Extension of internet access to VANET via satellite receive-only terminals. Int J Ad Hoc Ubiquitous Comput 14(3):172–190CrossRefGoogle Scholar
  14. 14.
    Toor Y, Muhlethaler P, Laouiti A (2008) Vehicle ad hoc networks: applications and related technical issues. IEEE Commun Surv Tutor 10(3):74–88 (3rd Quarter)CrossRefGoogle Scholar
  15. 15.
    Murray P (2009) Enterprise grade cloud computing. In: Proceedings of the third workshop on dependable distributed data management, Nuremberg, Germany, pp 1–1Google Scholar
  16. 16.
    Böhm M, Stefanie L, Christoph R, Helmut K (2011) Cloud computing–outsourcing 2.0 or a new business model for IT provisioning? In: Application management. Gabler, pp 31–56Google Scholar
  17. 17.
    Youseff L, Butrico M, Da Silva D (2008) Toward a unified ontology of cloud computing. In: Grid computing environments workshop, 2008. GCE 08, pp 1–10Google Scholar
  18. 18.
    Bernstein D, Vidovic N, Modi S (2010) A cloud PAAS for high scale, function, and velocity mobile applications with reference application as the fully connected car. In: 5th international conference on systems and networks communications (ICSNC). IEEE, pp 117–123Google Scholar
  19. 19.
    Chee BJS, Curtis FJ (2010) Cloud computing: technologies and strategies of the ubiquitous data center. CRC Press, Inc.Google Scholar
  20. 20.
    Wang M, Liu D, Zhu L, Xu Y, Wang F (2014) LESPP: lightweight and efficient strong privacy preserving authentication scheme for secure VANET communication. Springer J Comput 1–24Google Scholar
  21. 21.
    Sharma S, Baig Awan M, Mohan S (2017) Cloud enabled cognitive radio adhoc vehicular networking (CRAVENET) with security aware resource management and internet of vehicles (IoV) applications. In: 2017 IEEE international conference on advanced networks and telecommunications systems (ANTS). IEEE, pp 1–6Google Scholar
  22. 22.
    Sharma S, Muhammad A, Mohan S (2018) Cloud enabled cognitive radio adhoc vehicular networking with security aware resource management and internet of vehicles applications. U.S. Patent Application 16/058,488, filed 6 Dec 2018Google Scholar
  23. 23.
    Sharma S, Muhammad A, Mohan S (2018) Smart vehicular hybrid network systems and applications of same. U.S. Patent Application 15/705,542, filed 29 Mar 2018Google Scholar
  24. 24.
    Ghanshala KK, Sharma S, Mohan S, Joshi RC (2018) Cloud-based cognitive radio adhoc vehicular network architecture: a next-generation smart city. In: 2018 IEEE 9th annual information technology, electronics and mobile communication conference (IEMCON). IEEE, pp 145–150Google Scholar
  25. 25.
    Ghanshala KK, Sharma S, Mohan S, Nautiyal L, Mishra P, Joshi RC (2018) Self-organizing sustainable spectrum management methodology in cognitive radio vehicular adhoc network (CRAVENET) environment: a reinforcement learning approach. In: 2018 first international conference on secure cyber computing and communication (ICSCCC). IEEE, pp 168–172Google Scholar
  26. 26.
    Sharma S, Mohan S (2017) Human bond communication using cognitive radio approach for efficient spectrum utilization. In: Human bond communication: the Holy Grail of Holistic communication and immersive experience, pp 97–113Google Scholar
  27. 27.
    Wei Y (2014) An anonymous routing protocol with authenticated key establishment in wireless ad hoc networks. Int J Distrib Sens Netw 2014(Article ID 212350)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Graphic Era Deemed to be UniversityDehradunIndia
  2. 2.University of Arkansas at Little RockLittle RockUSA

Personalised recommendations