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Edge intelligence based realtime healthcare monitoring using NB-IoT

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorIslam, Md. Motaharul
dc.contributor.advisorChoudhury, Ahnaf Atef
dc.contributor.authorUsmani, Abdul Momen
dc.contributor.authorHassan, Shafkat
dc.contributor.authorAlim, Sk. Abdul
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2025-09-29T09:17:41Z
dc.date.available2025-09-29T09:17:41Z
dc.date.copyright2020
dc.date.issued2020-10
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 52-56).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020.en_US
dc.description.abstractThe deployment of the Internet of Things (IoT) has been widespread. It is sure to bring improvements in medical care centers, better clinical convenience for patients and enhanced hospital management standards, even in remote areas where the need for real-time healthcare monitoring is very vital. We have proposed an architecture which connects the NB-IoT enabled smart monitoring devices of the hospital to the nearest Base Station (BS). Then, from there sending data to the edge to avoid the round trip directly to the Cloud to avoid the central data center mechanism to elevate security and optimality. The client nodes send the data to the edge where the main data processing takes place. This system will be based on the Narrowband- Internet of Things (NB-IoT) protocol because of its various excellencies. NB-IoT has greater connection capacity, broader coverage, better battery life, and relatively low cost. For these advantages, it is a better choice for real-time monitoring in remote areas for applications regarding medical purposes.en_US
dc.description.degreeBachelor of Science in Computer Science
dc.description.statementofresponsibilityAbdul Momen Usmani
dc.description.statementofresponsibilityShafkat Hassan
dc.description.statementofresponsibilitySk. Abdul Alim
dc.format.extent71 pages
dc.identifier.otherID 16301022
dc.identifier.otherID 17301222
dc.identifier.otherID 16301017
dc.identifier.urihttp://hdl.handle.net/10361/26807
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectIoTen_US
dc.subjectNB-IoTen_US
dc.subjectHealthcare monitoringen_US
dc.subjectReal-time monitoringen_US
dc.subjectHospital management systemen_US
dc.subjectSmart monitoring devicesen_US
dc.subjectNarrowband internet of thingsen_US
dc.subject.lcshInternet of things.
dc.subject.lcshHealth services administration--Technological innovations.
dc.subject.lcshMedical informatics.
dc.subject.lcshRadio frequency modulation, Narrow-band.
dc.subject.lcshPatient monitoring--Real-time data processing.
dc.titleEdge intelligence based realtime healthcare monitoring using NB-IoTen_US
dc.typeThesisen_US

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