DFCV: A Novel Approach for Message Dissemination in Connected Vehicles Using Dynamic Fog

  • Anirudh ParanjothiEmail author
  • Mohammad S. Khan
  • Mohammed Atiquzzaman
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10866)


Vehicular Ad-hoc Network (VANET) has emerged as a promising solution for enhancing road safety. Routing of messages in VANET is challenging due to packet delays arising from high mobility of vehicles, frequently changing topology, and high density of vehicles, leading to frequent route breakages and packet losses. Previous researchers have used either mobility in vehicular fog computing or cloud computing to solve the routing issue, but they suffer from large packet delays and frequent packet losses. We propose Dynamic Fog for Connected Vehicles (DFCV), a fog computing based scheme which dynamically creates, increments and destroys fog nodes depending on the communication needs. The novelty of DFCV lies in providing lower delays and guaranteed message delivery at high vehicular densities. Simulations were conducted using hybrid simulation consisting of ns-2, SUMO, and Cloudsim. Results show that DFCV ensures efficient resource utilization, lower packet delays and losses at high vehicle densities.


Fog computing Cloud computing VANET Connected vehicles 



This work is supported by a grant (RDC # 18-023sm) awarded to the second author from East Tennessee State University.


  1. 1.
    Outay, F., Kammoun, F., Kaisser, F., Atiquzzaman, M.: Towards safer roads through cooperative hazard awareness and avoidance in connected vehicles. In: 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA), Taipei, China, pp. 208–215. IEEE (2011)Google Scholar
  2. 2.
    Hasan, A., Hossain, M., Atiquzzaman, M.: Security threats in vehicular ad hoc networks. In: 5th International Conference on Advances in Computing, Communications, and Informatics (ICACCI), Jaipur, India, pp. 404–411. IEEE (2016)Google Scholar
  3. 3.
    Paranjothi, A., Khan, M., Nijim, M., Challoo, R.: MAvanet: message authentication in VANET using social networks. In: 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON), New York, USA, pp. 1–8. IEEE (2016)Google Scholar
  4. 4.
    Wang, M., Wu, J., Li, G., Li, J., Wang, S.: Toward mobility support for information-centric IoV in the smart city using fog computing. In: 5th International Proceedings of the Smart Energy Grid Engineering Conference (SEGE), Oshawa, Canada, pp. 357–361. IEEE (2017)Google Scholar
  5. 5.
    Grewe, D., Wagner, M., Arumaithurai, M., Psaras, I., Kutscher, D.: Information-centric mobile edge computing for connected vehicle environments: challenges and research directions. In: 5th International Proceedings of the Workshop on Mobile Edge Communications, California, USA, pp 7–12. ACM (2017)Google Scholar
  6. 6.
    Agarwal, S., Dunagan, J., Jain, N., Saroiu, S., Bhogan. H.: Volley: automated data placement for geo-distributed cloud services. In: 7th International Proceedings of the Networked System Design and Implementation Conference, California, USA, pp. 1–16. USENIX (2010)Google Scholar
  7. 7.
    Meneguette, R., Boukerche, A.: Peer-to-peer protocol for allocated resources in vehicular cloud based on V2V communication. In: 15th International Proceedings of the Wireless Communications and Networking Conference, California, USA, pp 1–6. IEEE (2017)Google Scholar
  8. 8.
    Ni, J., Zhang, A., Lin, X., Shen, X.: Security, privacy, and fairness in Fog-based vehicular crowdsensing. IEEE Commun. Mag. 55(6), 146–152 (2017)CrossRefGoogle Scholar
  9. 9.
    Roman, R., Lopez, J., Mambo, M.: Mobile edge computing, Fog et al.: a survey and analysis of security threats and challenges. Future Gen. Comput. Syst. 78(2), 680–698 (2018)CrossRefGoogle Scholar
  10. 10.
    Sun, X., Ansari, N.: EdgeIoT: mobile edge computing for the Internet of Things. IEEE Commun. Mag. 54(12), 22–29 (2016)CrossRefGoogle Scholar
  11. 11.
    Chaudhary, R., Kumar, N., Zeadally, S.: Network service chaining in Fog and Cloud computing for the 5G environment: data management and security challenges. IEEE Commun. Mag. 55(11), 114–122 (2017)CrossRefGoogle Scholar
  12. 12.
    Botta, A., De Donato, W., Persico, V., Pescapé, A.: Integration of cloud computing and Internet of Things: a survey. Future Gen. Comput. Syst. 56(1), 684–700 (2016)CrossRefGoogle Scholar
  13. 13.
    Paranjothi, A., Khan, M., Nijim, M.: Survey on three components of mobile cloud computing: offloading, distribution and privacy. J. Comput. Commun. 5(1), 1–31 (2017)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  • Anirudh Paranjothi
    • 1
    Email author
  • Mohammad S. Khan
    • 2
  • Mohammed Atiquzzaman
    • 1
  1. 1.School of Computer ScienceUniversity of OklahomaNormanUSA
  2. 2.Department of ComputingEast Tennessee State UniversityJohnson CityUSA

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