2026-07-23T21:24:41Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:8986 2024-03-06T10:43:06Z ddc:004 open_access

Camera Networks Dimensioning and Scheduling with Quasi Worst-Case Transmission Time Edpalm, Viktor Martins, Alexandre Årzén, Karl-Erik Maggio, Martina worst-case transmission time H.264 bandwidth estimation video compression network access scheduling multiframe model camera network This paper describes a method to compute frame size estimates to be used in quasi Worst-Case Transmission Times (qWCTT) for cameras that transmit frames over IP-based communication networks. The precise determination of qWCTT allows us to model the network access scheduling problem as a multiframe problem and to re-use theoretical results for network scheduling. The paper presents a set of experiments, conducted in an industrial testbed, that validate the qWCTT estimation. We believe that a more precise estimation will lead to savings for network infrastructure and to better network utilization. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Viktor Edpalm and Alexandre Martins and Karl-Erik Årzén and Martina Maggio 2018 Is Part Of LIPIcs, Volume 106, 30th Euromicro Conference on Real-Time Systems (ECRTS 2018) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.ECRTS.2018.17 urn:nbn:de:0030-drops-89869 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2018.17 eng https://creativecommons.org/licenses/by/3.0/legalcode