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dc.contributor.authorAlaslani, Maha S.
dc.contributor.authorShihada, Basem
dc.date.accessioned2019-07-21T12:25:01Z
dc.date.available2019-07-21T12:25:01Z
dc.date.issued2019-01
dc.identifier.doi10.1109/CCNC.2019.8651876
dc.identifier.urihttp://hdl.handle.net/10754/656132
dc.description.abstractInternet of Multimedia Things (IoMT) applications such as real-time multimedia based security and monitoring in smart homes, hospitals, cities, and smart transportation management systems are of the most difficult systems to deploy. These services are highly time sensitive and require Quality of service (QoS) guarantees. QoS requirements are key factors that lead to variations of multimedia traffic quality and the Quality of Experience (QoE) for the end users. IoMT devices transmit measurements to a predefined IoMT application server subject to maximum QoS constraint. The delay and dropping are essential constraints as delayed packets are considered useless for the IoMT applications. Our objective is to obtain an approximate expression of the blocking probability due to either buffer overflow or violating certain end-to-end threshold. For this purpose, we employ M/G/1 framework for our network. We validate the proposed analytical model and demonstrate the blocking probability and end-to-end delay. We anticipate that our results are critical for optimizing IoMT network design and deployment.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8651876/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8651876
dc.rightsArchived with thanks to (c) 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectInternet of Things (IoT)
dc.subjectInternet of Multimedia Things (IoMT)
dc.subjectreal time
dc.subjectmultimedia traffic
dc.subjectqueueing
dc.subjectend-to-end delay
dc.subjectdropping
dc.subjectquality of service (QoS)
dc.subjectQuality of Experience (QoE)
dc.titleAnalyzing Latency and Dropping in Today’s Internet of Multimedia Things
dc.typeConference Paper
dc.contributor.departmentComputer Science
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.conference.date11-14 Jan. 2019
dc.conference.name2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)
dc.conference.locationLas Vegas, NV, USA
dc.eprint.versionPost-print
kaust.personAlaslani, Maha S.
kaust.personShihada, Basem


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