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dc.contributor.author Lee, Sanghoon -
dc.contributor.author Kim, Taehun -
dc.contributor.author Chae, Jiyeong -
dc.contributor.author Park, Kyung-Joon -
dc.date.accessioned 2026-02-09T16:10:16Z -
dc.date.available 2026-02-09T16:10:16Z -
dc.date.created 2025-11-20 -
dc.date.issued 2025-09-23 -
dc.identifier.isbn 9781665441315 -
dc.identifier.issn 1092-1648 -
dc.identifier.uri https://scholar.dgist.ac.kr/handle/20.500.11750/59967 -
dc.description.abstract High-resolution data streams-such as images, Li-DAR point-clouds-are common in robotic communication, yet Robot Operating System 2 (ROS 2) struggles to transmit these streams due to increased average latency. On lossy wireless links, the default DDS communication stack in ROS 2 suffers significant performance degradation. This paper presents the first comprehensive network-layer analysis of ROS 2's DDS stack operating over wireless links with large payloads. We analyze three network bottlenecks that emerge during large-payload data transfers and presents DDS-level optimizations for each one. The proposed solutions are exposed through an XML-based QoS configuration interface, allowing them to be easily tuned. Experiments demonstrate that our approach transmits large-payload data successfully while maintaining lower latency than existing methods. -
dc.language English -
dc.publisher IEEE Computer Society -
dc.relation.ispartof Proceedings - International Conference on Network Protocols, ICNP -
dc.title Poster: How to Send Large Data in ROS 2 -
dc.type Conference Paper -
dc.identifier.doi 10.1109/ICNP65844.2025.11192433 -
dc.identifier.scopusid 2-s2.0-105020668633 -
dc.identifier.bibliographicCitation IEEE International Conference on Network Protocols, pp.1 - 3 -
dc.identifier.url https://icnp25.cs.ucr.edu/program.html -
dc.citation.conferenceDate 2025-09-22 -
dc.citation.conferencePlace KO -
dc.citation.conferencePlace 서울 -
dc.citation.endPage 3 -
dc.citation.startPage 1 -
dc.citation.title IEEE International Conference on Network Protocols -
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박경준
Park, Kyung-Joon박경준

Department of Electrical Engineering and Computer Science

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