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Real-time Live-Video Streaming in Delay-Critical Application: Remote-Controlled Moving Platform
Indian Institute of Technology, India.
RISE Research Institutes of Sweden, Digitala system, Industriella system. Mid Sweden University, Sweden.ORCID-id: 0000-0002-5913-3145
RISE Research Institutes of Sweden, Digitala system, Industriella system. Mid Sweden University, Sweden.ORCID-id: 0000-0001-5060-9402
2023 (engelsk)Inngår i: 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), Institute of Electrical and Electronics Engineers (IEEE), 2023Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Recent advancement in multimedia and communication network technology have made interactive multimedia and tele-operation applications possible. Teledriving, teleoperation, and video-based remote-controlling require real-time live-video streaming and are delay critical in principle. Supporting such applications over wireless networks for mobile users can pose fundamental challenges in maintaining video quality and service latency requirements. This paper investigates the factors affecting the end-to-end delay in a video-based, remotely controlled moving platform application. It involves the real-time acquisition of environmental information (visually) and the delay-sensitive video streaming to remote operators over wireless networks. This paper presents an innovative experimental testbed developed using a remote-controlled toy truck, off-the-shelf cameras, and wireless fidelity (Wi-Fi) network. It achieves ultra-low end-to-end latency and helped us in performing the delay, network, and video quality evaluations. Extending the experimental study, we also propose a real-time live-media streaming control (RTSC) algorithm that maximizes the video quality by selecting the best streaming (network, video, and camera) configuration while meeting the delay and network availability constraints. RTSC improves the live-streaming video quality by about 33% while meeting the ultra-low latency (< 200 milliseconds) requirement under constrained network availability conditions.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE), 2023.
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-68534DOI: 10.1109/VTC2023-Fall60731.2023.10333522OAI: oai:DiVA.org:ri-68534DiVA, id: diva2:1819213
Konferanse
2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)
Merknad

This research has been funded by the Swedish foundation for strategic research (SSF dnr. FID18-0030) and has been supported by Sweden’s Innovation Agency (VINNOVA, 2021-02107) through the Celtic-Next project IMMINENCE (C2020/2-2) as well as the VINNOVA project CONTROL (2022-02670).

Tilgjengelig fra: 2023-12-13 Laget: 2023-12-13 Sist oppdatert: 2023-12-13bibliografisk kontrollert

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Rafiei, ShirinBrunnström, Kjell

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