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Moisture Computing-Based Internet of Vehicles (IoV) Architecture for Smart Cities

Recently, the concept of combining ‘things’ on the Internet to provide various services has gained tremendous momentum. Such a concept has also impacted the automotive industry, giving rise to the Internet of Vehicles (IoV). IoV enables Internet connectivity and communication between smart vehicles...

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Autores principales: Tufail, Ali, Namoun, Abdallah, Abi Sen, Adnan Ahmed, Kim, Ki-Hyung, Alrehaili, Ahmed, Ali, Arshad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197799/
https://www.ncbi.nlm.nih.gov/pubmed/34070719
http://dx.doi.org/10.3390/s21113785
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author Tufail, Ali
Namoun, Abdallah
Abi Sen, Adnan Ahmed
Kim, Ki-Hyung
Alrehaili, Ahmed
Ali, Arshad
author_facet Tufail, Ali
Namoun, Abdallah
Abi Sen, Adnan Ahmed
Kim, Ki-Hyung
Alrehaili, Ahmed
Ali, Arshad
author_sort Tufail, Ali
collection PubMed
description Recently, the concept of combining ‘things’ on the Internet to provide various services has gained tremendous momentum. Such a concept has also impacted the automotive industry, giving rise to the Internet of Vehicles (IoV). IoV enables Internet connectivity and communication between smart vehicles and other devices on the network. Shifting the computing towards the edge of the network reduces communication delays and provides various services instantly. However, both distributed (i.e., edge computing) and central computing (i.e., cloud computing) architectures suffer from several inherent issues, such as high latency, high infrastructure cost, and performance degradation. We propose a novel concept of computation, which we call moisture computing (MC) to be deployed slightly away from the edge of the network but below the cloud infrastructure. The MC-based IoV architecture can be used to assist smart vehicles in collaborating to solve traffic monitoring, road safety, and management issues. Moreover, the MC can be used to dispatch emergency and roadside assistance in case of incidents and accidents. In contrast to the cloud which covers a broader area, the MC provides smart vehicles with critical information with fewer delays. We argue that the MC can help reduce infrastructure costs efficiently since it requires a medium-scale data center with moderate resources to cover a wider area compared to small-scale data centers in edge computing and large-scale data centers in cloud computing. We performed mathematical analyses to demonstrate that the MC reduces network delays and enhances the response time in contrast to the edge and cloud infrastructure. Moreover, we present a simulation-based implementation to evaluate the computational performance of the MC. Our simulation results show that the total processing time (computation delay and communication delay) is optimized, and delays are minimized in the MC as apposed to the traditional approaches.
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spelling pubmed-81977992021-06-14 Moisture Computing-Based Internet of Vehicles (IoV) Architecture for Smart Cities Tufail, Ali Namoun, Abdallah Abi Sen, Adnan Ahmed Kim, Ki-Hyung Alrehaili, Ahmed Ali, Arshad Sensors (Basel) Article Recently, the concept of combining ‘things’ on the Internet to provide various services has gained tremendous momentum. Such a concept has also impacted the automotive industry, giving rise to the Internet of Vehicles (IoV). IoV enables Internet connectivity and communication between smart vehicles and other devices on the network. Shifting the computing towards the edge of the network reduces communication delays and provides various services instantly. However, both distributed (i.e., edge computing) and central computing (i.e., cloud computing) architectures suffer from several inherent issues, such as high latency, high infrastructure cost, and performance degradation. We propose a novel concept of computation, which we call moisture computing (MC) to be deployed slightly away from the edge of the network but below the cloud infrastructure. The MC-based IoV architecture can be used to assist smart vehicles in collaborating to solve traffic monitoring, road safety, and management issues. Moreover, the MC can be used to dispatch emergency and roadside assistance in case of incidents and accidents. In contrast to the cloud which covers a broader area, the MC provides smart vehicles with critical information with fewer delays. We argue that the MC can help reduce infrastructure costs efficiently since it requires a medium-scale data center with moderate resources to cover a wider area compared to small-scale data centers in edge computing and large-scale data centers in cloud computing. We performed mathematical analyses to demonstrate that the MC reduces network delays and enhances the response time in contrast to the edge and cloud infrastructure. Moreover, we present a simulation-based implementation to evaluate the computational performance of the MC. Our simulation results show that the total processing time (computation delay and communication delay) is optimized, and delays are minimized in the MC as apposed to the traditional approaches. MDPI 2021-05-30 /pmc/articles/PMC8197799/ /pubmed/34070719 http://dx.doi.org/10.3390/s21113785 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tufail, Ali
Namoun, Abdallah
Abi Sen, Adnan Ahmed
Kim, Ki-Hyung
Alrehaili, Ahmed
Ali, Arshad
Moisture Computing-Based Internet of Vehicles (IoV) Architecture for Smart Cities
title Moisture Computing-Based Internet of Vehicles (IoV) Architecture for Smart Cities
title_full Moisture Computing-Based Internet of Vehicles (IoV) Architecture for Smart Cities
title_fullStr Moisture Computing-Based Internet of Vehicles (IoV) Architecture for Smart Cities
title_full_unstemmed Moisture Computing-Based Internet of Vehicles (IoV) Architecture for Smart Cities
title_short Moisture Computing-Based Internet of Vehicles (IoV) Architecture for Smart Cities
title_sort moisture computing-based internet of vehicles (iov) architecture for smart cities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197799/
https://www.ncbi.nlm.nih.gov/pubmed/34070719
http://dx.doi.org/10.3390/s21113785
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