Traffic Optimized Content Precaching Scheme Based on Tolerable Delay Time in Content-Centric Vehicular Networks

The development of smart vehicles such as self-driving cars has resulted in an increased demand for content consumption in vehicles. This demand for content, coupled with the improved quality of the content and the expanding resolution of the display, leads to a significant increase in mobile data t...

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Main Authors: Youngju Nam, Hyunseok Choi, Yongje Shin, Euisin Lee
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10132483/
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author Youngju Nam
Hyunseok Choi
Yongje Shin
Euisin Lee
author_facet Youngju Nam
Hyunseok Choi
Yongje Shin
Euisin Lee
author_sort Youngju Nam
collection DOAJ
description The development of smart vehicles such as self-driving cars has resulted in an increased demand for content consumption in vehicles. This demand for content, coupled with the improved quality of the content and the expanding resolution of the display, leads to a significant increase in mobile data traffics with larger sizes in content-centric vehicular networks (CCVNs). Since a single RSU cannot fully provide the larger size contents in its communication coverage due to its limited transmission rate, many studies on precaching contents have been actively conducted. By considering only delay-sensitive contents, previous precaching schemes immediately precache contents in the next continuous RSUs on trajectories of vehicles through paying lots of traffics for reducing delays. However, every application content in CCVNs might generally have a tolerable delay time to vehicles according to its characteristics related to service satisfaction. By considering the tolerable delay time, the already stored content on RSUs reached by vehicles within the tolerable delay time can be exploited to download the content without precaching. As a result, precaching of contents can be reduced and thus the traffics can be also reduced. To address this issue, we thus propose a Traffic Optimized Content Precaching (TOCP) scheme based on the tolerable delay time in CCVNs, which minimizes traffics consumed for delay-tolerant contents and decreases delays for delay-sensitive contents. To do this, we first provide a numerical model to judge the precaching necessity by calculating the content provision possibility. Next, we build a Delay-tolerant content Management Module (DMM) for managing the updated information and design new packet formats for reducing the movements of the large-size contents to achieve the optimization purpose of TOCP. Then, we select Optimal Precaching RSUs (OPRs) by solving our optimization problem by using ILP. Last, we provide a process for allowing only OPRs to participate in the content provision. Through simulation results conducted in various environments, we demonstrate that TOCP minimizes the traffic and caching burden while maintaining high reliability in comparison with the previous schemes.
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spelling doaj.art-7d1afe8dcc174d66afa777a990597d4b2023-06-08T23:01:15ZengIEEEIEEE Access2169-35362023-01-0111538625387910.1109/ACCESS.2023.327973010132483Traffic Optimized Content Precaching Scheme Based on Tolerable Delay Time in Content-Centric Vehicular NetworksYoungju Nam0https://orcid.org/0000-0003-3971-0715Hyunseok Choi1https://orcid.org/0000-0001-9410-7244Yongje Shin2Euisin Lee3https://orcid.org/0000-0002-0422-0647Research Institute for Computer and Information Communication, Chungbuk National University, Cheongju, Republic of KoreaResearch Institute for Computer and Information Communication, Chungbuk National University, Cheongju, Republic of KoreaResearch Institute for Computer and Information Communication, Chungbuk National University, Cheongju, Republic of KoreaSchool of Information Communication Engineering, Chungbuk National University, Cheongju, Republic of KoreaThe development of smart vehicles such as self-driving cars has resulted in an increased demand for content consumption in vehicles. This demand for content, coupled with the improved quality of the content and the expanding resolution of the display, leads to a significant increase in mobile data traffics with larger sizes in content-centric vehicular networks (CCVNs). Since a single RSU cannot fully provide the larger size contents in its communication coverage due to its limited transmission rate, many studies on precaching contents have been actively conducted. By considering only delay-sensitive contents, previous precaching schemes immediately precache contents in the next continuous RSUs on trajectories of vehicles through paying lots of traffics for reducing delays. However, every application content in CCVNs might generally have a tolerable delay time to vehicles according to its characteristics related to service satisfaction. By considering the tolerable delay time, the already stored content on RSUs reached by vehicles within the tolerable delay time can be exploited to download the content without precaching. As a result, precaching of contents can be reduced and thus the traffics can be also reduced. To address this issue, we thus propose a Traffic Optimized Content Precaching (TOCP) scheme based on the tolerable delay time in CCVNs, which minimizes traffics consumed for delay-tolerant contents and decreases delays for delay-sensitive contents. To do this, we first provide a numerical model to judge the precaching necessity by calculating the content provision possibility. Next, we build a Delay-tolerant content Management Module (DMM) for managing the updated information and design new packet formats for reducing the movements of the large-size contents to achieve the optimization purpose of TOCP. Then, we select Optimal Precaching RSUs (OPRs) by solving our optimization problem by using ILP. Last, we provide a process for allowing only OPRs to participate in the content provision. Through simulation results conducted in various environments, we demonstrate that TOCP minimizes the traffic and caching burden while maintaining high reliability in comparison with the previous schemes.https://ieeexplore.ieee.org/document/10132483/Content-centric vehicular networkscontent precachingtolerable delay timeoptimization
spellingShingle Youngju Nam
Hyunseok Choi
Yongje Shin
Euisin Lee
Traffic Optimized Content Precaching Scheme Based on Tolerable Delay Time in Content-Centric Vehicular Networks
IEEE Access
Content-centric vehicular networks
content precaching
tolerable delay time
optimization
title Traffic Optimized Content Precaching Scheme Based on Tolerable Delay Time in Content-Centric Vehicular Networks
title_full Traffic Optimized Content Precaching Scheme Based on Tolerable Delay Time in Content-Centric Vehicular Networks
title_fullStr Traffic Optimized Content Precaching Scheme Based on Tolerable Delay Time in Content-Centric Vehicular Networks
title_full_unstemmed Traffic Optimized Content Precaching Scheme Based on Tolerable Delay Time in Content-Centric Vehicular Networks
title_short Traffic Optimized Content Precaching Scheme Based on Tolerable Delay Time in Content-Centric Vehicular Networks
title_sort traffic optimized content precaching scheme based on tolerable delay time in content centric vehicular networks
topic Content-centric vehicular networks
content precaching
tolerable delay time
optimization
url https://ieeexplore.ieee.org/document/10132483/
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AT hyunseokchoi trafficoptimizedcontentprecachingschemebasedontolerabledelaytimeincontentcentricvehicularnetworks
AT yongjeshin trafficoptimizedcontentprecachingschemebasedontolerabledelaytimeincontentcentricvehicularnetworks
AT euisinlee trafficoptimizedcontentprecachingschemebasedontolerabledelaytimeincontentcentricvehicularnetworks