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SoLVE: A Localization System Framework for VANets using the Cloud and Fog Computing

Published: 21 November 2017 Publication History

Abstract

Usually, vehicles are equipped with Global Positioning System (GPS), which can provide its position estimation. However, GPS can become erroneous or unavailable in cases of some indoor scenarios, such as tunnels and dense urban areas where there is no straight visibility to satellites. In Vehicular Ad Hoc Networks (VANets), some critical applications such as Driverless Vehicles and Blind Crossing require a precise localization system.
In this work, we proposed a new localization system framework for VANets using the Cloud and Fog Computing paradigm. Our framework, called SoLVE (acronym of three keywords: System, Localization, and VANets), takes advantage of both Fog Computing and the location awareness of the RoadSide Units (RSUs) and Smart Traffic Lights (STL) in order to provide a precise estimate the position of vehicles within a Fog Network. Fogs can be as many as needed to cover the entire area of the localization system. Some of framework challenges, and implementations are discussed. Also, some use cases are described as well future research directions are highlighted.

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Cited By

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  • (2024)Vehicular Fog Computing: A Survey of Architectures, Resource Management, Challenges and Emerging TrendsWireless Personal Communications: An International Journal10.1007/s11277-024-11373-z136:4(2243-2273)Online publication date: 1-Jun-2024
  • (2021)WiFi FTM, UWB and Cellular-Based Radio Fusion for Indoor PositioningSensors10.3390/s2121702021:21(7020)Online publication date: 23-Oct-2021
  • (2021)Toward Electrical Vehicular Ad Hoc Networks: E-VANETJournal of Electrical Engineering & Technology10.1007/s42835-021-00687-8Online publication date: 3-Mar-2021
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    cover image ACM Conferences
    DIVANet '17: Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications
    November 2017
    160 pages
    ISBN:9781450351645
    DOI:10.1145/3132340
    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: 21 November 2017

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    Author Tags

    1. cloud computing
    2. fog computing
    3. localization system
    4. vanets

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    Cited By

    View all
    • (2024)Vehicular Fog Computing: A Survey of Architectures, Resource Management, Challenges and Emerging TrendsWireless Personal Communications: An International Journal10.1007/s11277-024-11373-z136:4(2243-2273)Online publication date: 1-Jun-2024
    • (2021)WiFi FTM, UWB and Cellular-Based Radio Fusion for Indoor PositioningSensors10.3390/s2121702021:21(7020)Online publication date: 23-Oct-2021
    • (2021)Toward Electrical Vehicular Ad Hoc Networks: E-VANETJournal of Electrical Engineering & Technology10.1007/s42835-021-00687-8Online publication date: 3-Mar-2021
    • (2019)Cooperative Localization Improvement Using Distance Information in Vehicular Ad Hoc NetworksSensors10.3390/s1923523119:23(5231)Online publication date: 28-Nov-2019
    • (2019)Multi-Vehicle Cooperative Positioning Correction Framework Based on Vehicular BlockchainProceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications10.1145/3345838.3356004(23-29)Online publication date: 25-Nov-2019
    • (2019)A Distance-based Data Fusion Technique for Minimizing GPS Positioning Error in Vehicular Ad Hoc NetworksProceedings of the 15th ACM International Symposium on QoS and Security for Wireless and Mobile Networks10.1145/3345837.3355956(101-108)Online publication date: 25-Nov-2019
    • (2018)Congestion Mitigation in Densely Crowded Environments for Augmenting QoS in Vehicular CloudsProceedings of the 8th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications10.1145/3272036.3272038(49-56)Online publication date: 25-Oct-2018

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