On Developing Smart Transportation Applications in Fog Computing Paradigm
Abstract
Smart Transportation applications by nature are examples of Vehicular Ad-hoc Network (VANETs) applications where mobile vehicles, roadside units and transportation infrastructure interplay with one another to provide value added services. While there are abundant researches that focused on the communication aspect of such Mobile Ad-hoc Networks, there are few research bodies that target the development of VANET applications. Among the popular VANET applications, a dominant direction is to leverage Cloud infrastructure to execute and deliver applications and services. Recent studies showed that Cloud Computing is not sufficient for many VANET applications due to the mobility of vehicles and the latency sensitive requirements they impose. To this end, Fog Computing has been proposed to leverage computation infrastructure that is closer to the network edge to compliment Cloud Computing in providing latency-sensitive applications and services. However, applications development in Fog environment is much more challenging than in the Cloud due to the distributed nature of Fog systems. In this paper, we investigate how Smart Transportation applications are developed following Fog Computing approach, their challenges and possible mitigation from the state of the arts.
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Having a distributed data processing infrastructure greatly reduces the burden on the Cloud while still achieving the latency-sensitivity requirement.
“Having a distributed data processing infrastructure greatly reduces this burden of the Cloud while still achieving the latency-sensitivity requirement [14].”
From Smart Transportation: An Overview of Technologies and Applications (2023) · cites this paper as [14]
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Smart Transportation: An Overview of Technologies and Applications
Oladimeji, D., Gupta, K., Kose, N. A., Gundogan, K., Ge, L., & Liang, F. (2023) · Sensors · doi:10.3390/s23083880 · Cited by 386 · see citing works
Blockchain and fog based architecture for internet of everything in smart cities
Singh, P., Nayyar, A., Kaur, A., & Ghosh, U. (2020) · Future Internet · doi:10.3390/fi12040061 · Cited by 190 · see citing works
- Authors
- Giang, N. K., Leung, V. C. M., & Lea, R.
- Affiliations
- University of British Columbia (CA)
- Venue
- Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications
- Publisher
- ACM
- Published
- 2016-11-13
- Pages
- 91-98
- OpenAlex
- W2548349436
- Cited by
- 59
- References
- 0
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 7 · 2023: 5 · 2022: 11 · 2021: 7 · 2020: 8 · 2019: 3 · 2018: 11 · 2017: 1
- FWCI
- 4.27
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Design and Analysis of Intelligent Vehicular Networks and Applications (publishedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- Funders
- NSERC IPS (486401)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Keywords
- smart transportation, fog computing, vehicular ad hoc networks, VANET applications, cloud computing limitations, delay-sensitive applications, edge computing, distributed application development, roadside units, vehicle mobility
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