Native Versus Overlay-Based NDN over Wi-Fi 6 for the Internet of Vehicles

Sena, Ygor Amaral B. L. de; Dias, Kelvin Lopes

doi:10.1007/978-3-030-97124-3_5

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…The solution was deployed on an emulated automotive testbed of Raspberry PIs with Controller Area Network (CAN) interfaces and tests were performed using network traces datasets. In the same direction, the work in [13] discussed a comparative simulation-based study of these NDN deployments over Wi-Fi 6 for Internet-of-Vehicles using real vehicular traces. Both papers do not present a real NDN deployment.…”

Section: Related Workmentioning

confidence: 99%

Insights from the Experimentation of Named Data Networks in Mobile Wireless Environments

2022

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The Information-Centric Network (ICN) paradigm has been touted as one of the candidates for the Internet of the future, where the Named Data Network (NDN) architecture is the one leading the way. Despite the large amount of works published in the literature targeting new implementations of such architecture, covering different network topologies and use cases, there are few NDN implementations in real networks. Moreover, most of these real-world NDN implementations, especially those addressing wireless and wired communication channels, are at a small scale, in laboratory environments. In this work, we evaluate the performance of an NDN-based implementation in a mobile wireless network, as part of a smart city infrastructure, making use of multiple wireless interfaces. We start by showing how we have implemented the NDN stack in current network nodes of the smart city infrastructure, following a hybrid solution where both TCP/IP and NDN paradigms can coexist. The implementation is evaluated in three scenarios, targeting different situations: mobility, the simultaneous use of different wireless interfaces and the network characteristics. The results show that our implementation works properly and insights about the correct NDN parameterization are derived.

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Section: Related Workmentioning

confidence: 99%

Insights from the Experimentation of Named Data Networks in Mobile Wireless Environments

2022

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“…Thus, NDN does not need network layer addressing but relies on names to request the desired content. This solution has several advantages, especially in mobility contexts [de Sena and Dias 2022]. When it comes to vehicles as end-users, this architecture has been promoted to overcome the intrinsic dynamic and challenging scenarios of wireless networks and, in particular, is wellsuited to the Internet of Vehicles (IoV) through different solutions based on Vehicular NDN (VNDN).…”

Section: Introductionmentioning

confidence: 99%

Towards a High Efficiency of Native NDN over Wi-Fi 6 for the Internet of Vehicles

Sena

Dias²

2022

Anais Do XL Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC 2022)

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Named Data Networking (NDN) is a top-notched architecture to deal with content distribution over the Internet. With the explosion of video streaming transmission and future massive Internet of Things and Vehicles (IoT/IoV) traffic, evolving Wi-Fi networks will play an essential role in such ecosystems. However, Native NDN deployment over wireless networks may not perform well. Wi-Fi broadcasts/multicasts result in reduced throughput due to the usage of basic service mode. Despite recent initial works addressing that issue, further studies and proposals are required to boost the adoption of Native NDN. We advocate that an initial step towards designing a feasible Native NDN over wireless networks should be understanding the challenges in emerging scenarios and providing a uniform baseline to compare and advance proposals. To this end, first, we highlight some challenges and directions to improve throughput and energy efficiency, reduce processing overhead, and security issues. Next, we propose a variant of NDN that minimizes the problems identified by performing transmission via unicast to avoid storms in wireless networks. Finally, we conducted a performance evaluation to compare Standard Native NDN with our proposal on Wi-Fi 6 vehicular networks. The results show that our proposal outperforms the Standard NDN in the evaluated scenarios, reaching values close to 89% of satisfied requests, achieving more than 200% of data received than Standard NDN.

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Native Versus Overlay-Based NDN over Wi-Fi 6 for the Internet of Vehicles

Cited by 2 publications

References 17 publications

Insights from the Experimentation of Named Data Networks in Mobile Wireless Environments

Insights from the Experimentation of Named Data Networks in Mobile Wireless Environments

Towards a High Efficiency of Native NDN over Wi-Fi 6 for the Internet of Vehicles

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