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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1109/LWC.2018.2873347</dc:identifier><dc:language>eng</dc:language><dc:creator>Ortín Gracia, Jorge</dc:creator><dc:creator>Cesana, Matteo</dc:creator><dc:creator>Redondi, Alessandro Enrico Cesare</dc:creator><dc:creator>Canales Compés, María</dc:creator><dc:creator>Gállego Martínez, José Ramón</dc:creator><dc:title>Analysis of Unslotted IEEE 802.15.4 Networks with Heterogeneous Traffic Classes</dc:title><dc:identifier>ART-2018-109399</dc:identifier><dc:description>We propose a modeling framework composed of a Markov chain and the related coupling equations to evaluate the performance of unslotted IEEE 802.15.4 wireless sensor networks based on CSMA/CA Medium Access Control. Different from the related literature, the proposed model is able to capture heterogeneous classes of nodes with class-specific traffic generation rate and includes a more refined calculation of the probability of finding the channel busy during the carrier sensing process. The proposed model is used to derive class-specific performance figures including the probability of a successful transmission and the average delay for a successful/unsuccessful transmission.</dc:description><dc:date>2018</dc:date><dc:source>http://zaguan.unizar.es/record/149012</dc:source><dc:doi>10.1109/LWC.2018.2873347</dc:doi><dc:identifier>http://zaguan.unizar.es/record/149012</dc:identifier><dc:identifier>oai:zaguan.unizar.es:149012</dc:identifier><dc:identifier.citation>IEEE Wireless Communications Letters 8, 2 (2018), 380-383</dc:identifier.citation><dc:rights>All rights reserved</dc:rights><dc:rights>http://www.europeana.eu/rights/rr-f/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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