Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity

Vehicle automation is driving the integration of advanced sensors and new applications that demand high-quality information, such as collaborative sensing for enhanced situational awareness. In this work, we considered a vehicular sensing scenario supported by 5G communications, in which vehicle sen...

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Autores principales:	Pablo Fondo-Ferreiro, David Candal-Ventureira, Francisco Javier González-Castaño, Felipe Gil-Castiñeira
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	vehicular sensing latency reduction edge computing 5G networks User Plane Function (UPF) Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/2acfa38579af4394bb95fe2ab9533282
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spelling	oai:doaj.org-article:2acfa38579af4394bb95fe2ab95332822021-11-25T18:58:58ZLatency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity10.3390/s212277441424-8220https://doaj.org/article/2acfa38579af4394bb95fe2ab95332822021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7744https://doaj.org/toc/1424-8220Vehicle automation is driving the integration of advanced sensors and new applications that demand high-quality information, such as collaborative sensing for enhanced situational awareness. In this work, we considered a vehicular sensing scenario supported by 5G communications, in which vehicle sensor data need to be sent to edge computing resources with stringent latency constraints. To ensure low latency with the resources available, we propose an optimization framework that deploys User Plane Functions (UPFs) dynamically at the edge to minimize the number of network hops between the vehicles and them. The proposed framework relies on a practical Software-Defined-Networking (SDN)-based mechanism that allows seamless re-assignment of vehicles to UPFs while maintaining session and service continuity. We propose and evaluate different UPF allocation algorithms that reduce communications latency compared to static, random, and centralized deployment baselines. Our results demonstrated that the dynamic allocation of UPFs can support latency-critical applications that would be unfeasible otherwise.Pablo Fondo-FerreiroDavid Candal-VentureiraFrancisco Javier González-CastañoFelipe Gil-CastiñeiraMDPI AGarticlevehicular sensinglatency reductionedge computing5G networksUser Plane Function (UPF)Chemical technologyTP1-1185ENSensors, Vol 21, Iss 7744, p 7744 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	vehicular sensing latency reduction edge computing 5G networks User Plane Function (UPF) Chemical technology TP1-1185
spellingShingle	vehicular sensing latency reduction edge computing 5G networks User Plane Function (UPF) Chemical technology TP1-1185 Pablo Fondo-Ferreiro David Candal-Ventureira Francisco Javier González-Castaño Felipe Gil-Castiñeira Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity
description	Vehicle automation is driving the integration of advanced sensors and new applications that demand high-quality information, such as collaborative sensing for enhanced situational awareness. In this work, we considered a vehicular sensing scenario supported by 5G communications, in which vehicle sensor data need to be sent to edge computing resources with stringent latency constraints. To ensure low latency with the resources available, we propose an optimization framework that deploys User Plane Functions (UPFs) dynamically at the edge to minimize the number of network hops between the vehicles and them. The proposed framework relies on a practical Software-Defined-Networking (SDN)-based mechanism that allows seamless re-assignment of vehicles to UPFs while maintaining session and service continuity. We propose and evaluate different UPF allocation algorithms that reduce communications latency compared to static, random, and centralized deployment baselines. Our results demonstrated that the dynamic allocation of UPFs can support latency-critical applications that would be unfeasible otherwise.
format	article
author	Pablo Fondo-Ferreiro David Candal-Ventureira Francisco Javier González-Castaño Felipe Gil-Castiñeira
author_facet	Pablo Fondo-Ferreiro David Candal-Ventureira Francisco Javier González-Castaño Felipe Gil-Castiñeira
author_sort	Pablo Fondo-Ferreiro
title	Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity
title_short	Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity
title_full	Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity
title_fullStr	Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity
title_full_unstemmed	Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity
title_sort	latency reduction in vehicular sensing applications by dynamic 5g user plane function allocation with session continuity
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2acfa38579af4394bb95fe2ab9533282
work_keys_str_mv	AT pablofondoferreiro latencyreductioninvehicularsensingapplicationsbydynamic5guserplanefunctionallocationwithsessioncontinuity AT davidcandalventureira latencyreductioninvehicularsensingapplicationsbydynamic5guserplanefunctionallocationwithsessioncontinuity AT franciscojaviergonzalezcastano latencyreductioninvehicularsensingapplicationsbydynamic5guserplanefunctionallocationwithsessioncontinuity AT felipegilcastineira latencyreductioninvehicularsensingapplicationsbydynamic5guserplanefunctionallocationwithsessioncontinuity
_version_	1718410452679000064

Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity

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