Discrete-time queueing model of age of information with multiple information sources

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buir.contributor.authorAkar, Nail
buir.contributor.authorDoğan, Ozancan
buir.contributor.orcidAkar, Nail|0000-0001-8143-1379
buir.contributor.orcidDoğan, Ozancan|0000-0002-4048-5028
dc.citation.epage14542en_US
dc.citation.issueNumber19en_US
dc.citation.spage14531en_US
dc.citation.volumeNumber8en_US
dc.contributor.authorAkar, Nail
dc.contributor.authorDoğan, Ozancan
dc.date.accessioned2022-01-25T13:34:00Z
dc.date.available2022-01-25T13:34:00Z
dc.date.issued2021-01-22
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractInformation freshness in IoT-based status update systems has recently been studied through the Age of Information (AoI) and Peak AoI (PAoI) performance metrics. In this article, we study a discrete-time server arising in multisource IoT systems, which accepts incoming information packets from multiple information sources so as to be forwarded to a remote monitor for status update purposes. Under the assumption of Bernoulli information packet arrivals and a common general discrete phase-type service time distribution across all the sources, we numerically obtain the exact per-source distributions of AoI and PAoI in matrix-geometric form for three different queueing disciplines: 1) nonpreemptive bufferless; 2) preemptive bufferless; and 3) nonpreemptive single buffer with replacement. The proposed numerical algorithm employs the theory of discrete-time Markov chains of quasi-birth-death type and is matrix analytical. Numerical examples are provided to validate the accuracy and effectiveness of the proposed queueing model. We also present a numerical example on the optimum choice of the Bernoulli parameters in a practical IoT system with two sources with diverse AoI requirements.en_US
dc.identifier.doi10.1109/JIOT.2021.3053768en_US
dc.identifier.eissn2327-4662
dc.identifier.urihttp://hdl.handle.net/11693/76779
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/JIOT.2021.3053768en_US
dc.source.titleIEEE Internet of Things Journalen_US
dc.subjectAge of Information (AoI)en_US
dc.subjectDiscrete-time queuesen_US
dc.subjectPeak AoI (PAoI)en_US
dc.subjectMarkov chains of quasi-birth-death (QBD) typeen_US
dc.titleDiscrete-time queueing model of age of information with multiple information sourcesen_US
dc.typeArticleen_US

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