High performance adaptive video streaming using NDN WLAN multicast

Wang, Yang; Wu, Fan; Tian, Kaijin

doi:10.1145/3460417.3482977

Cited by 4 publications

(5 citation statements)

References 23 publications

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“…In order to evaluate the performance of the initial version of the SDN-based mobility network, measurements were performed in the following manner: an iPerf3 34 server is running in each ATCLL OBU of the city buses, and an iPerf3 client deployed in a virtual machine, in the cloud platform, is continuously trying an UDP connection to all OBUs. Upon a successful connection, traffic is generated from the OBU at packet level, accurately replicating appropriate stochastic processes.…”

Section: B Performance Resultsmentioning

confidence: 99%

“…The tests were performed with a duration of 1 second per test, with tests being carried out with a frequency of 1 Hz. The OBUs carrying the testing platform circulated 34 https://iperf.fr Figure 24 shows the results of throughput over time and distance traveled in one trip done by a vehicle, passing by several RSUs (P3, P5, P6, P19, and P26). As corroborated by the results, the current solution of connectivity between OBUs and infrastructure performs well in long periods of connectivity, frequently achieving a peak throughput of, at least, 8 Mbps.…”

Section: B Performance Resultsmentioning

confidence: 99%

“…Despite the touted virtues of the ICN paradigm, and its several implementations, such as the named data network-based (NDN), it is rare to find implementations or testbeds where the paradigm can be tested under the same conditions as networks based on Internet protocols. Even recent works such as [32]- [34] discuss experiments in controlled environments. Furthermore, as far as we know, there is no ICN available on an extensive wireless communication infrastructure installed in a smart city.…”

Section: Use-case 6: Icn Deploymentmentioning

confidence: 99%

See 2 more Smart Citations

Aveiro Tech City Living Lab: A Communication, Sensing and Computing Platform for City Environments

Rito¹,

Almeida²,

Figueiredo³

et al. 2022

Preprint

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This article presents the deployment and experimentation architecture of the Aveiro Tech City Living Lab (ATCLL) in Aveiro, Portugal. This platform comprises a large number of Internet-of-things devices with communication, sensing and computing capabilities. The communication infrastructure, built on fiber and Millimeter-wave (mmWave) links, integrates a communication network with radio terminals (WiFi, ITS-G5, C-V2X, 5G and LoRa(WAN)), multiprotocol, spread throughout 44 connected points of access in the city. Additionally, public transportation has also been equipped with communication and sensing units. All these points combine and interconnect a set of sensors, such as mobility (Radars, Lidars, video cameras) and environmental sensors. Combining edge computing and cloud management to deploy the services and manage the platform, and a data platform to gather and process the data, the living lab supports a wide range of services and applications: Internet-of-things, intelligent transportation systems and assisted driving, environmental monitoring, emergency and safety, among others. This article describes the architecture, implementation and deployment to make the overall platform to work and integrate researchers and citizens. Moreover, it showcases some examples of the performance metrics achieved in the city infrastructure, the data that can be collected, visualized and used to build services and applications to the cities, and, finally, different use cases in the mobility and safety scenarios.

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Section: B Performance Resultsmentioning

confidence: 99%

Section: B Performance Resultsmentioning

confidence: 99%

Section: Use-case 6: Icn Deploymentmentioning

confidence: 99%

See 1 more Smart Citation

Aveiro Tech City Living Lab: A Communication, Sensing and Computing Platform for City Environments

Rito¹,

Almeida²,

Figueiredo³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Here's a taxonomy that categorizes video streaming in WLANs: 1. Type of Content [5], [6], [7]: Live Streaming: Real-time broadcasting of events or content, such as sports events, news, or live video conferencing.…”

Section: Video Streaming In Wlans Taxonomy (Viswat)mentioning

confidence: 99%

A Video Streaming in WLANs Taxonomy (ViSWAT)

Khan

2023

IJLERA

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The Video Streaming in WLANs Taxonomy (ViSWAT) is a comprehensive framework designed to categorize and structure the diverse aspects of video streaming over Wireless Local Area Networks (WLANs). ViSWAT encompasses various dimensions, including content type, network architecture, quality of service, device and application, video resolution, content source, security, wireless standards, multicast, buffering, latency, content delivery, and user interaction. This taxonomy aids in the systematic analysis, organization, and understanding of video streaming in WLANs, allowing for informed decision-making and optimization of the video streaming experience across WLAN environments.

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“…There are some solutions for the well-known multiplication of interest and data packets in NDN networks over Wi-Fi. In [15], the authors proposed an Access Point-based proxy of Interest mechanism to mitigate WLAN channel competition. In addition, they have proposed a layer-based NDN WLAN multicast data rate selection mechanism for adaptive video streaming to improve the video bit rate.…”

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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High performance adaptive video streaming using NDN WLAN multicast

Cited by 4 publications

References 23 publications

Aveiro Tech City Living Lab: A Communication, Sensing and Computing Platform for City Environments

Aveiro Tech City Living Lab: A Communication, Sensing and Computing Platform for City Environments

A Video Streaming in WLANs Taxonomy (ViSWAT)

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

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