Vehicular Inter-Networking via Named Data - An OPNET Simulation Study

Mau, Dung Ong; Zhang, Yin; Taleb, Tarik; Chen, Min

doi:10.1007/978-3-319-13326-3_12

Cited by 9 publications

(4 citation statements)

References 7 publications

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“…There is no concept of a full node and a light node, which removes the security vulnerability in which the light node is fully dependent on the full node to retrieve and return data [171]. Simulations have proven that this paradigm significantly enhances network performance [172]. Yu et al [173] proposed an NDN routing protocol called Bloom-filter routing, based on bloom filters (which are probabilistic data structures that efficiently convey one of two things about a queried element -either it may be part of the set, or it is not).…”

Section: Ccn/ndn/icnmentioning

confidence: 99%

A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks

Alladi¹,

Chamola²,

Sahu³

et al. 2022

Preprint

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Vehicular networks promise features such as traffic management, route scheduling, data exchange, entertainment, and much more. With any large-scale technological integration comes the challenge of providing security. Blockchain technology has been a popular choice of many studies for making the vehicular network more secure. Its characteristics meet some of the essential security requirements such as decentralization, transparency, tamper-proof nature, and public audit. This study catalogues some of the notable efforts in this direction over the last few years. We analyze around 75 blockchain-based security schemes for vehicular networks from an application, security, and blockchain perspective. The application perspective focuses on various applications which use secure blockchainbased vehicular networks such as transportation, parking, data sharing/ trading, and resource sharing. The security perspective focuses on security requirements and attacks. The blockchain perspective focuses on blockchain platforms, blockchain types, and consensus mechanisms used in blockchain implementation. We also compile the popular simulation tools used for simulating blockchain and for simulating vehicular networks. Additionally, to give the readers a broader perspective of the research area, we discuss the role of various state-of-the-art emerging technologies in blockchain-based vehicular networks. Lastly, we summarize the survey by listing out some common challenges and the future research directions in this field.

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Section: Ccn/ndn/icnmentioning

confidence: 99%

A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks

Alladi¹,

Chamola²,

Sahu³

et al. 2022

Preprint

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“…Typically, an Interest packet simply floods through the network, yet a returned Data packet can be cached by the nodes who overhear the transmission of Data packet. This allows extensive data sharing for the vehicular networking [7], [22].…”

Section: B Named Data Networkingmentioning

confidence: 99%

Synchronizing tasks for distributed learning in connected and autonomous vehicles

2022

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“…So far, most of the works applying CCN principles for data dissemination in VANET has focused on either to improve forwarding routines or naming and transport design [19], [20], while only a few of them interested in the effective caching. In [21], caching decision and replacement policies were performed to store the data content effectively, in which four policies were compared and evaluated in term of hitting rate and offloading server. With the same cache size, PT-Sharing and PT-LRU helped to enhance the effectiveness of caching and offload total server traffic better than Least-Recently-Used (LRU) and Least Frequently Used (LFU) schemes in comparison respectively.…”

Section: B Related Workmentioning

confidence: 99%

MS-CCVN: Multi-Source Content Centric Vehicular Networking

Van¹,

Qing-song²,

Mau³

2016

jcm

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Content-Centric Networking (CCN) has become an emerging technology in vehicular environments and is called Content Centric Vehicular Networking (CCVN). In this kind of system, the network performance was improved by reducing redundant transmission if the cached contents are popular. However, the volume of the Content Store (CS) is constrained, and much smaller than the generated contents. Moreover, the current capacity vehicular backbone network and bandwidth of the Internet have faced great challenges to cope with constantly increasing vehicular applications. To solve these issues, we propose a novel scheme integrating CCN with Multi-source Mobile Streaming (MS 2) into VANETs model, dubbed MS-CCVN. In this scheme, the caching of each content is not limited to the single server anymore, instead, each content is fragmented and distributed to multiple servers over a large scale network. After experimenting with disjoint multi-paths, various content fragments are coupled at side clients. The results obtained by OPNET Modeler simulation show that the MS-CCVN scheme helps to improve energy efficiency, enhance effective caching, less bottleneck link, shorter round trip time, and offload server traffic in comparison with the original CCN scheme in vehicular environments. Index Terms-CCN, CCVN, MS 2 , VANETs, vehicle cloud computing I. INTRODUCTION Vehicular ad-hoc Networks (VANET) is one of the important components of intelligent transportation systems to improve the traffic conditions, road safety as well as commercial, entertainment services to drivers. In this network, each vehicle takes on the role of the sender, receiver, and wireless router to broadcast information in wide range communications. In VANET, two kinds of communication are Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) where road site units (RSUs) are deployed along the road and take a role as the access point. From the definition of VANET, a highlight challenge is obvious. Usually, Single-Source Single-Path Manuscript

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Vehicular Inter-Networking via Named Data - An OPNET Simulation Study

Cited by 9 publications

References 7 publications

A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks

A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks

Synchronizing tasks for distributed learning in connected and autonomous vehicles

MS-CCVN: Multi-Source Content Centric Vehicular Networking

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