Adaptive Content Precaching Scheme Based on the Predictive Speed of Vehicles in Content-Centric Vehicular Networks

Nam, Youngju; Choi, Hyunseok; Shin, Yongje; Lee, Euisin; Lee, Eun-Kyu

doi:10.3390/s21165376

Cited by 3 publications

(3 citation statements)

References 51 publications

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“…A heuristic Q‐learning solution together with a mobility prediction scheme is proposed. Based on the speed of a requester vehicle, authors in Chen et al 153 calculate the downloadable amount of an intended content to be pre‐cached at the next RSU, where the vehicle is heading to. The proposal by Park et al 144 proactively distributes content at the RSU according to the movement of the vehicles.…”

Section: Methodsmentioning

confidence: 99%

“…Besides, considering the difference of characteristics between the location-dependent content (which is ephemeral and generally delay sensitive) and the locationindependent content (which is long-lived and delay tolerant), an appropriate mechanism to differentiate and treat accordingly these groups of information is essential. All proposals based on the mobility prediction 121,123,129,133,139,141,144,149,151,153 rely on the existing infrastructure. Only 27.08% are pure V2V, see Figure 10B.…”

Section: Research Question (Rq2)-cachingmentioning

confidence: 99%

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On the realization of VANET using named data networking: On improvement of VANET using NDN‐based routing, caching, and security

Silva

Costa

Macedo

2022

Int J Communication

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Summary Named data networking (NDN) presents a huge opportunity to tackle some of the unsolved issues of IP‐based vehicular ad hoc networks (VANET). The core characteristics of NDN such as the name‐based routing, in‐network caching, and built‐in data security provide better management of VANET proprieties (e.g., the high mobility, link intermittency, and dynamic topology). This study aims at providing a clear view of the state‐of‐the‐art on the developments in place, in order to leverage the characteristics of NDN in VANET. We resort to a systematic literature review (SLR) to perform a reproducible study, gathering the proposed solutions and summarizing the main open challenges on implementing NDN‐based VANET. There exist several related studies, but they are more focused on other topics such as forwarding. This work specifically restricts the focus on VANET improvements by NDN‐based routing (not forwarding), caching, and security. The surveyed solution herein presented is performed between 2010 and 2021. The results show that proposals on the selected topics for NDN‐based VANET are recent (mainly from 2016 to 2021). Among them, caching is the most investigated topic. Finally, the main findings and the possible roadmaps for further development are highlighted.

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Section: Methodsmentioning

confidence: 99%

Section: Research Question (Rq2)-cachingmentioning

confidence: 99%

On the realization of VANET using named data networking: On improvement of VANET using NDN‐based routing, caching, and security

Silva

Costa

Macedo

2022

Int J Communication

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“…We proposed the data distribution scheme based on the network coding [40] to improve the data dissemination efficiency in vehicular networks assisted by UAV with an active directional antenna. For the multimedia data offloaded from RSU, Nam et al proposed the adaptive content precaching scheme for RSU based on the mobility of the vehicles, and RSU cached appropriate amounts of data according to the predictive speed of the vehicles [41]. As to the coverage problem of the multiple dynamic vehicles with the limited number of UAVs, Samir et al proposed a control method for UAV's trajectories based on the reinforcement learning technology.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Efficient Message Dissemination on Curve Road in Vehicular Networks

Huang

et al. 2022

Wireless Communications and Mobile Computing

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Effective emergency message dissemination is a great importance on a specific road in vehicular networks (VN). The existing methods are not most efficient solutions for message dissemination on the curve road, which primarily focus on highway and urban road. In order to improve the efficiency of message dissemination on the curved road, the paper proposed a message dissemination method based on bidirectional relay nodes. The message can be disseminated in two directions simultaneously. The paper designed a relay node selection method based on the neighbor nodes’ coverage length of the road. Different waiting delays are assigned to the neighbor nodes according to the cover capability of the road in which the message has not arrived. Simulation results demonstrated that the efficiency of the proposed method is superior to the common solutions in terms of the contention delay and the propagation velocity.

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Towards Intelligent Zone-Based Content Pre-Caching Approach in VANET for Congestion Control

Nazar

Saeed²,

Ali³

et al. 2022

Sensors

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In vehicular ad hoc networks (VANETs), content pre-caching is a significant technology that improves network performance and lowers network response delay. VANET faces network congestion when multiple requests for the same content are generated. Location-based dependency requirements make the system more congested. Content pre-caching is an existing challenge in VANET; pre-caching involves the content’s early delivery to the requested vehicles to avoid network delays and control network congestion. Early content prediction saves vehicles from accidents and road disasters in urban environments. Periodic data dissemination without considering the state of the road and surrounding vehicles are considered in this research. The content available at a specified time poses considerable challenges in VANET for content delivery. To address these challenges, we propose a machine learning-based, zonal/context-aware-equipped content pre-caching strategy in this research. The proposed model improves content placement and content management in the pre-caching mode for VANET. Content caching is achieved through machine learning, which significantly improves content prediction by pre-caching the content early to the desired vehicles that are part of the zone. In this paper, three algorithms are presented, the first is zone selection using the customized algorithm, the second is the content dissemination algorithm, and the third is the content pre-caching decision algorithm using supervised machine learning that improves the early content prediction accuracy by 99.6%. The cache hit ratio for the proposed technique improves by 13% from the previous techniques. The prediction accuracy of the proposed technique is compared with CCMP, MLCP, and PCZS+PCNS on the number of vehicles from 10 to 150, with an improved average of 16%. Finally, the average delay reduces over time compared with the state-of-the-art techniques of RPSS, MLCP, CCMP, and PCZS+PCNS. Finally, the average delay shows that the proposed method effectively reduces the delay when the number of nodes increases. The proposed solution improves the content delivery request while comparing it with existing techniques. The results show improved pre-caching in VANET to avoid network congestion.

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Adaptive Content Precaching Scheme Based on the Predictive Speed of Vehicles in Content-Centric Vehicular Networks

Cited by 3 publications

References 51 publications

On the realization of VANET using named data networking: On improvement of VANET using NDN‐based routing, caching, and security

On the realization of VANET using named data networking: On improvement of VANET using NDN‐based routing, caching, and security

Efficient Message Dissemination on Curve Road in Vehicular Networks

Towards Intelligent Zone-Based Content Pre-Caching Approach in VANET for Congestion Control

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