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Towards Fog-based Next Generation Internet of Vehicles Architecture

Published: 01 October 2018 Publication History

Abstract

Internet of Vehicles (IoV) is an integral component of the Intelligent Transportation System (ITS) with the vision to acquire and process data for improving traffic safety. In IoV, vehicles communicate by exchanging messages with other vehicles and roadside infrastructure subsequently generating a large volume of data often referred to as big data, and which demands a massive storage and high computational capability with minimal possible delay. The aim of this paper is to take a step forward in outlining the current state-of-the-art in IoV and analyzing the improved data processing and storage features by utilizing big data analytics and fog computing paradigm. We further presented a preliminary simulation result to demonstrate that the introduction of fog improves the overall system performance by ensuring low-latency critical for especially vehicular safety applications. Moreover, this paper briefly discusses a fog computing based IoV crime assistant and highlight some of its challenges which needs to be addressed in order to enhance the performance of such systems.

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  • (2023)A Comprehensive Survey on Using Fog Computing in Vehicular NetworksVehicular Communications10.1016/j.vehcom.2023.100604(100604)Online publication date: Mar-2023
  • (2022)BIVFN: Blockchain-Enabled Intelligent Vehicular Fog NetworksIntelligent Computing and Applications10.1007/978-981-19-4162-7_3(19-27)Online publication date: 14-Nov-2022
  • (2020)Vehicular Cloud and Fog Computing Architecture, Applications, Services, and ChallengesIoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks10.4018/978-1-7998-2570-8.ch014(268-296)Online publication date: 2020
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cover image ACM Conferences
C3VP '18: Proceedings of the 1st International Workshop on Communication and Computing in Connected Vehicles and Platooning
October 2018
39 pages
ISBN:9781450359252
DOI:10.1145/3267195
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 October 2018

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Author Tags

  1. big data analytics
  2. fog computing
  3. intelligent transportation systems
  4. internet of vehicles

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Cited By

View all
  • (2023)A Comprehensive Survey on Using Fog Computing in Vehicular NetworksVehicular Communications10.1016/j.vehcom.2023.100604(100604)Online publication date: Mar-2023
  • (2022)BIVFN: Blockchain-Enabled Intelligent Vehicular Fog NetworksIntelligent Computing and Applications10.1007/978-981-19-4162-7_3(19-27)Online publication date: 14-Nov-2022
  • (2020)Vehicular Cloud and Fog Computing Architecture, Applications, Services, and ChallengesIoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks10.4018/978-1-7998-2570-8.ch014(268-296)Online publication date: 2020
  • (2020)In-Vehicle Violence Detection in Carpooling: A Brief Survey Towards a General Surveillance SystemDistributed Computing and Artificial Intelligence, 17th International Conference10.1007/978-3-030-53036-5_23(211-220)Online publication date: 7-Aug-2020

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