vFog: A Vehicle-Assisted Computing Framework for Delay-Sensitive Applications in Smart Cities
The inception of the smart cities concept provides a compelling platform to support innovative applications. It provides distinctive view of cities, where mobile devices, pedestrians, and electronic gadgets can communicate with each other to build an effective urban environment to further improve th...
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Language: | English |
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IEEE
2019-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/8665896/ |
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author | Syed Sarmad Shah Muhammad Ali Asad Waqar Malik Muazzam A. Khan Sri Devi Ravana |
author_facet | Syed Sarmad Shah Muhammad Ali Asad Waqar Malik Muazzam A. Khan Sri Devi Ravana |
author_sort | Syed Sarmad Shah |
collection | DOAJ |
description | The inception of the smart cities concept provides a compelling platform to support innovative applications. It provides distinctive view of cities, where mobile devices, pedestrians, and electronic gadgets can communicate with each other to build an effective urban environment to further improve the living standards. Similarly, the role of the Internet of Things (IoT) and vehicular computing has emerged due to smart cities. This is further complemented by edge and fog computing architectures. The emerging concept of vehicular fog computing has enabled the platform to support delay-sensitive applications and to reduce the workload on the backend networks. Vehicular fog computing is a paradigm that touches the boundaries of thinking vehicles as an infrastructures-as-a-service. The use of vehicles to provide computation on-the-move poses various challenges. The vehicles with onboard computing equipment can facilitate delay-sensitive applications. These vehicles can act as an edge device to reduce the load from a backbone network. However, due to continuous mobility, it is difficult to use traditional frameworks to distribute the computation task among vehicles. In this paper, we propose a framework termed vFog. The vFog is designed to provide computing facilities from nearby fog vehicles. The framework utilizes the onboard computing facility of vehicles without the support of roadside units (RSUs). Moreover, the proposed framework handles churn behavior and supports multi-hop communication to improve the task delivery ratio. The proposed framework allows researchers to benchmark their own task distribution algorithms over the dynamic vehicular networks. |
first_indexed | 2024-03-08T07:18:44Z |
format | Article |
id | doaj.art-b5294203055f440080264d047a6a6d69 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-03-08T07:18:44Z |
publishDate | 2019-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-b5294203055f440080264d047a6a6d692024-02-03T00:02:23ZengIEEEIEEE Access2169-35362019-01-017349003490910.1109/ACCESS.2019.29033028665896vFog: A Vehicle-Assisted Computing Framework for Delay-Sensitive Applications in Smart CitiesSyed Sarmad Shah0Muhammad Ali1Asad Waqar Malik2https://orcid.org/0000-0003-3804-997XMuazzam A. Khan3Sri Devi Ravana4School of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad, PakistanSchool of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad, PakistanSchool of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad, PakistanSchool of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad, PakistanDepartment of Information System, Facutly of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, MalaysiaThe inception of the smart cities concept provides a compelling platform to support innovative applications. It provides distinctive view of cities, where mobile devices, pedestrians, and electronic gadgets can communicate with each other to build an effective urban environment to further improve the living standards. Similarly, the role of the Internet of Things (IoT) and vehicular computing has emerged due to smart cities. This is further complemented by edge and fog computing architectures. The emerging concept of vehicular fog computing has enabled the platform to support delay-sensitive applications and to reduce the workload on the backend networks. Vehicular fog computing is a paradigm that touches the boundaries of thinking vehicles as an infrastructures-as-a-service. The use of vehicles to provide computation on-the-move poses various challenges. The vehicles with onboard computing equipment can facilitate delay-sensitive applications. These vehicles can act as an edge device to reduce the load from a backbone network. However, due to continuous mobility, it is difficult to use traditional frameworks to distribute the computation task among vehicles. In this paper, we propose a framework termed vFog. The vFog is designed to provide computing facilities from nearby fog vehicles. The framework utilizes the onboard computing facility of vehicles without the support of roadside units (RSUs). Moreover, the proposed framework handles churn behavior and supports multi-hop communication to improve the task delivery ratio. The proposed framework allows researchers to benchmark their own task distribution algorithms over the dynamic vehicular networks.https://ieeexplore.ieee.org/document/8665896/Vehicular fog computingtasks scheduling policyedge devicesmulti-vehicle relay |
spellingShingle | Syed Sarmad Shah Muhammad Ali Asad Waqar Malik Muazzam A. Khan Sri Devi Ravana vFog: A Vehicle-Assisted Computing Framework for Delay-Sensitive Applications in Smart Cities IEEE Access Vehicular fog computing tasks scheduling policy edge devices multi-vehicle relay |
title | vFog: A Vehicle-Assisted Computing Framework for Delay-Sensitive Applications in Smart Cities |
title_full | vFog: A Vehicle-Assisted Computing Framework for Delay-Sensitive Applications in Smart Cities |
title_fullStr | vFog: A Vehicle-Assisted Computing Framework for Delay-Sensitive Applications in Smart Cities |
title_full_unstemmed | vFog: A Vehicle-Assisted Computing Framework for Delay-Sensitive Applications in Smart Cities |
title_short | vFog: A Vehicle-Assisted Computing Framework for Delay-Sensitive Applications in Smart Cities |
title_sort | vfog a vehicle assisted computing framework for delay sensitive applications in smart cities |
topic | Vehicular fog computing tasks scheduling policy edge devices multi-vehicle relay |
url | https://ieeexplore.ieee.org/document/8665896/ |
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