Multicast Rate Adaptation in WLAN via NDN

Wu, Fan; Wang, Yang; Fan, Zhenyu; Tian, Kaijin

doi:10.1109/icccn.2018.8487358

Cited by 9 publications

(2 citation statements)

References 30 publications

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“…However, this strategy does not perform layer-2 address mapping, and it is not possible to perform unicast with Native NDN without prior configuration of the layer-2 addresses. A multicast rate adaptation scheme has been proposed [Wu et al 2018], which performs passive mapping of layer-2 addresses to deliver data packets (downstream), but still broadcasts when sending interest packets. As such, high throughput is still an open issue in Native NDN over wireless networks.…”

Section: Throughputmentioning

confidence: 99%

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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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Section: Throughputmentioning

confidence: 99%

“…NLB is a leader-based mechanism to suppress duplicate requests, where a single consumer requests (via UDP unicast) and everyone receives the same data (via UDP broadcast). A multicast rate adaptation scheme in wireless networks has been proposed in [Wu et al 2018]. With this approach, interests are always sent via layer-2 broadcast.…”

Section: Related Workmentioning

confidence: 99%