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An Integrated Framework for Fog Communications and Computing in Internet of Vehicles

9 pagesPublished: October 23, 2018

Abstract

In this paper, the novel Fog Communications and Computing paradigm is addressed by presenting an integrated system architecture, that is applied to achieve a full con- text awareness for vehicular networks and, consequently, to react on traffic anomalous conditions. In particular, we propose to adopt a specific co-designed approach involving Application and Networks Layers. For the latter one, as no infrastructure usually exists, effective routing protocols are needed to guarantee a certain level of reliability of the in- formation collected from individual vehicles. As a consequence, we investigated classical Epidemic Flooding based, Network Coding inspired and Chord protocols. Besides, we resort to Blockchain principle to design a distributed consensus sensing application. The system has been tested by resorting to OMNeT++ framework for its modularity, high fidelity and flexibility. Performance analysis has been conducted over realistic scenarios in terms of consensus making overhead, latency and scalability, pointing out the better trade-off allowing the overlay P2P network formation and the complete context awareness achieved by the vehicles community.

Keyphrases: Blockchain, Chord, Epidemic Flooding based, Fog Communications and Computing, Internet of Vehicles, network coding

In: Anna Förster, Asanga Udugama, Antonio Virdis and Giovanni Nardini (editors). Proceedings of the 5th International OMNeT++ Community Summit, vol 56, pages 84--92

Links:
BibTeX entry
@inproceedings{OMNeT2018:An_Integrated_Framework_for,
  author    = {Alessio Bonadio and Francesco Chiti and Romano Fantacci},
  title     = {An Integrated Framework for Fog Communications and Computing in Internet of Vehicles},
  booktitle = {Proceedings of the 5th International OMNeT++ Community Summit},
  editor    = {Anna F\textbackslash{}"orster and Asanga Udugama and Antonio Virdis and Giovanni Nardini},
  series    = {EPiC Series in Computing},
  volume    = {56},
  pages     = {84--92},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {https://easychair.org/publications/paper/L1jn},
  doi       = {10.29007/c5kn}}
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