Cluster-based Selective Cooperative Caching Strategy in Vehicular Named Data Networking

Huang, Wanying; Song, Tian; Yang, Yating; Yu, Zhengtao

doi:10.1109/hoticn.2018.8605950

Cited by 12 publications

(5 citation statements)

References 9 publications

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“…Then, it creates communication among clusters by enabling the RSU to cache popular Data to the CH. The authors prior study, in Huang et al, 137 does not include mobility prediction. It includes a replacement strategy based on content popularity.…”

Section: Methodsmentioning

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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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%

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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“…However, these two works do not consider vehicles with storage capacity as caching nodes, and using vehicle‐to‐vehicle collaboration can improve the transmission efficiency of the system. In Reference 13, the authors used cluster partitioning to classify different clusters of vehicles based on their location and speed, and the cluster head of each clustered vehicle cooperates with the RSU to cache data and provided more stable communication for the IoV. However, the literature lacks the prediction of popularity and the cache hit rate suffers.…”

Section: Related Workmentioning

confidence: 99%

Cooperative caching strategy based mobile vehicle social‐aware in internet of vehicles

Kan

Xing

2023

Trans Emerging Tel Tech

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The dramatic growth of smart in‐vehicle applications in the Internet of Vehicles and the increasing quality of experience for vehicle users have put a huge traffic load on the mobile core network. Mobile edge caching has been proposed to place content at the edge of the network to serve users in close proximity to them. However, the dynamic topology of existing edge networks and the inherent storage limitations of edge devices pose a serious challenge to vehicular edge caching. Therefore, in this article, we propose a cooperative caching strategy based on mobile prediction and social awareness that allows collaborative content decision making among edge devices. Specifically, the long short‐term memory network is used to predict vehicle trajectories, social relationships are computed using content similarity and contact rates among vehicle users to select vehicles that can serve as caching nodes, and deep reinforcement learning is employed to achieve the final caching decision. Simulation results show that the caching strategy proposed in this article achieves up to 7.7%, 24.2%, and 27.3% gains, respectively, in terms of content acquirement delay compared to the reinforcement learning algorithm, the algorithm without considering mobility, and the non‐cooperative algorithm.

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“…Wei et al [16] proposed a layered cooperative cache management strategy in a vehicular content-centric network, which selects single-hop neighbors as cache nodes based on the layer level caching potential so that the content in different layers can be progressively passed on to the Consumer. Huang et al [17] proposed a cluster-based selective cooperative caching method involving popularity awareness for vehicular NDN (V-NDN), which uses vehicle motion information to cluster vehicles and data popularity to cache the most popular data. On this basis, the authors further proposed a cooperative caching approach based on mobility prediction [18] that uses mobile prediction to establish communication among vehicles with similar mobility patterns, thereby building stable intra-and inter-cluster communication among vehicle clusters.…”

Section: Related Workmentioning

confidence: 99%

Data Forwarding Scheme for Vehicle Tracking in Named Data Networking

Hou

Zhou

Cui

et al. 2021

IEEE Trans. Veh. Technol.

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Named data networking (NDN) is one representation and implementation of information-centric networking (ICN) and is considered to be among the most promising designs for the next generation of network architecture. The introduction of NDN into vehicular ad-hoc networks (VANETs) and utilization of its content-centric characteristic to improve data transmission and distribution in VANETs has become a research hotspot in recent years. However, research on mobility support of NDN-based VANETs still faces many challenges. To solve the issue of data transmission path breaking due to Consumer mobility in NDNbased VANETs, this article proposes a novel vehicle trackingbased Data packet forwarding scheme (VTDF) to improve the successful delivery rate of Data packets in mobile environments. In this approach, the urban road structure is divided into complex multi-junction and straight lane scenarios and Data packets are forwarded according to vehicle movement information. Simulations indicated that this vehicle tracking scheme provides a lower average data transmission delay, shorter handover delay between roadside units, and higher data delivery rate for Consumers compared to the standard methods.

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Cluster-based Selective Cooperative Caching Strategy in Vehicular Named Data Networking

Cited by 12 publications

References 9 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

Cooperative caching strategy based mobile vehicle social‐aware in internet of vehicles

Data Forwarding Scheme for Vehicle Tracking in Named Data Networking

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