The mobile edge computing (mec)-based vanet data offloading using the staying-Time-oriented k-hop away offloading agent

Chung Ming Huang, Zhong You Wu, Shih Yang Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper proposed a Mobile Edge Computing (MEC)-based k-hop away IEEE 802.11p Road Side Unit (RSU) Vehicular-To-Infrastructure (V2I) offloading method. Let a vehicle X regularly use LTE cellular network to communicate with the peer entity in the infrastructure side, i.e., in Internet. When there is a k-hop V2V path that can connect X with the ahead RSU, the V2I offloading can be enabled; additionally, when X has left the signal coverage of the corresponding RSU, if there is a k-hop V2V path that can connect X with the rear RSU, the V2I offloading can still be continued. In the proposed method, a MEC server is used to compute whether the k-hop V2I offloading can be enabled and maintained or not. This work also shows the performance analysis for different offloading scenarios in situations of different vehicular density.

Original languageEnglish
Title of host publication33rd International Conference on Information Networking, ICOIN 2019
PublisherIEEE Computer Society
Pages357-362
Number of pages6
ISBN (Electronic)9781538683507
DOIs
Publication statusPublished - 2019 May 17
Event33rd International Conference on Information Networking, ICOIN 2019 - Kuala Lumpur, Malaysia
Duration: 2019 Jan 92019 Jan 11

Publication series

NameInternational Conference on Information Networking
Volume2019-January
ISSN (Print)1976-7684

Conference

Conference33rd International Conference on Information Networking, ICOIN 2019
CountryMalaysia
CityKuala Lumpur
Period19-01-0919-01-11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

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    Huang, C. M., Wu, Z. Y., & Lin, S. Y. (2019). The mobile edge computing (mec)-based vanet data offloading using the staying-Time-oriented k-hop away offloading agent. In 33rd International Conference on Information Networking, ICOIN 2019 (pp. 357-362). [8718188] (International Conference on Information Networking; Vol. 2019-January). IEEE Computer Society. https://doi.org/10.1109/ICOIN.2019.8718188