Multiple control policy in unreliable two-phase bulk queueing system with active Bernoulli feedback and vacation

dc.contributor.authorNiranjan, S. P.
dc.contributor.authorLatha, S. Devi
dc.contributor.authorMahdal, Miroslav
dc.contributor.authorKarthik, Krishnasamy
dc.date.accessioned2024-09-25T09:22:52Z
dc.date.available2024-09-25T09:22:52Z
dc.date.issued2024
dc.description.abstractIn this paper, a bulk arrival and two-phase bulk service with active Bernoulli feedback, vacation, and breakdown is considered. The server provides service in two phases as mandatory according to the general bulk service rule, with minimum bulk size ' a ' and maximum bulk size ' b '. In the first essential service (FES) completion epoch, if the server fails, with probability 'delta ' , then the renewal of the service station is considered. On the other hand, if there is no server failure, with a probability ' 1 - delta ' , then the server switches to a second essential service (SES) in succession. A customer who requires further service as feedback is given priority, and they join the head of the queue with probability beta. On the contrary, a customer who does not require feedback leaves the system with a probability ' 1- beta '. If the queue length is less than ' a ' after SES, the server may leave for a single vacation with probability ' 1 - beta '. When the server finds an inadequate number of customers in the queue after vacation completion, the server becomes dormant. After vacation completion, the server requires some time to start service, which is attained by including setup time. The setup time is initiated only when the queue length is at least ' a '. Even after setup time completion, the service process begins only with a queue length 'N' (N > b). The novelty of this paper is that it introduces an essential two-phase bulk service, immediate Bernoulli feedback for customers, and renewal service time of the first essential service for the bulk arrival and bulk service queueing model. We aim to develop a model that investigates the probability-generating function of the queue size at any time. Additionally, we analyzed various performance characteristics using numerical examples to demonstrate the model's effectiveness. An optimum cost analysis was also carried out to minimize the total average cost with appropriate practical applications in existing data transmission and data processing in LTE-A networks using the DRX mechanism.cs
dc.description.firstpageart. no. 75cs
dc.description.issue1cs
dc.description.sourceWeb of Sciencecs
dc.description.volume12cs
dc.identifier.citationMathematics. 2024, vol. 12, issue 1, art. no. 75.cs
dc.identifier.doi10.3390/math12010075
dc.identifier.issn2227-7390
dc.identifier.urihttp://hdl.handle.net/10084/154913
dc.identifier.wos001141487800001
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesMathematicscs
dc.relation.urihttps://doi.org/10.3390/math12010075cs
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.accessopenAccesscs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectmultiple control policycs
dc.subjectrenewal timecs
dc.subjectbreakdowncs
dc.subjectBernoulli feedbackcs
dc.titleMultiple control policy in unreliable two-phase bulk queueing system with active Bernoulli feedback and vacationcs
dc.typearticlecs
dc.type.statusPeer-reviewedcs
dc.type.versionpublishedVersioncs

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