Content delivery enhancement in Vehicular Social Network with better routing and caching mechanism

Yi, Bo; Wang, Xingwei; Huang, Min

doi:10.1016/j.jnca.2020.102952

Cited by 16 publications

(14 citation statements)

References 9 publications

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“…The well‐traveled roads are chosen over the less‐traveled ones. In Yi et al, 109 the authors propose a routing scheme in which the degree of centrality and content interest are used as base for content routing. This proposal constructs community areas around the RSU coverage area.…”

Section: Methodsmentioning

confidence: 99%

“…The authors also proposed a popularity‐based prediction replacement mechanism, designed to reduce the overhead of cache replacement by predicting and evicting the content with the lower popularity whenever necessary. Another popularity based scheme is proposed by Yi et al 109 This proposal divides the CS into two, that is, 80% of CS for popular contents and the remaining 20% for the non‐popular contents. A table, content popularity monitor table (CPMT), is included for monitoring the content popularity.…”

Section: Methodsmentioning

confidence: 99%

“…Yi et al 109 Considering the friendship and in order to further improve sharing, nodes can suggest to cache non popular content into the reserved 20% of the CS. Includes own cache replacement policy.…”

Section: Study Main Features Main Limitationsmentioning

confidence: 99%

See 2 more Smart Citations

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: Methodsmentioning

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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“…From the BBS when the Internet started to the current social networks (Facebook, WeChat Moments, etc.) [35][36][37], social media (Instagram, Twitter, etc. ), and some vertical communities (Tiger, Blued, etc.…”

Section: Data Decision and Transmission Model Designmentioning

confidence: 99%

Effective Data Optimization and Evaluation Based on Social Communication with AI-Assisted in Opportunistic Social Networks

Gou

Long

et al. 2022

Wireless Communications and Mobile Computing

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Billions of people around the world send and receive data over online networks daily. Sufficient and redundant data are transmitted over social platforms with AI-assisted in 5G networks. In opportunistic social networks, the main challenge faced by traditional methods is that numerous user nodes participate in data transmission, causing a lot of message copy redundancy and node cache consumption. As a result, the transmission delay of the algorithm is high, the node energy consumption is too large, and even information is lost. To solve these problems, this study establishes an artificial intelligence-based optimization multiple evaluation method. The main purpose of this method is to avoid information loss caused by data loss when reducing data noise, reasonably select communication nodes in opportunistic social network scenarios, optimize data transmission performance, and avoid network congestion. Moreover, our method can effectively identify and exclude potential malicious nodes, reducing the situation that packets are intercepted and discarded. The experiment confirms that the optimized transmission evaluation scheme can effectively reduce routing overheads and energy consumption of a user node, improve the delivery ratio of node data transmission, and ensure the reliability and security of data transmission.

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“…To solve the problem, they designed a heuristic edge delivery algorithm based on global optimization. [35] introduces edge computing into vehicle networks. Given the interconnection among edge vehicle networks, they propose a vehicle-adaptive caching scheme that guarantees cache diversity and improves the packet delivery rate.…”

Section: Related Workmentioning

confidence: 99%

Joint optimization of cache placement and request routing in unreliable networks

Song

Yang

et al. 2021

Journal of Parallel and Distributed Computing

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Content delivery enhancement in Vehicular Social Network with better routing and caching mechanism

Cited by 16 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

Effective Data Optimization and Evaluation Based on Social Communication with AI-Assisted in Opportunistic Social Networks

Joint optimization of cache placement and request routing in unreliable networks

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