Edge intelligence based realtime healthcare monitoring using NB-IoT
| bracu.degree.level | Undergraduate | |
| bracu.type.group | Student Works | |
| datacite.rights | Open Access | |
| dc.contributor.advisor | Islam, Md. Motaharul | |
| dc.contributor.advisor | Choudhury, Ahnaf Atef | |
| dc.contributor.author | Usmani, Abdul Momen | |
| dc.contributor.author | Hassan, Shafkat | |
| dc.contributor.author | Alim, Sk. Abdul | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.date.accessioned | 2025-09-29T09:17:41Z | |
| dc.date.available | 2025-09-29T09:17:41Z | |
| dc.date.copyright | 2020 | |
| dc.date.issued | 2020-10 | |
| dc.description | Cataloged from PDF version of thesis. | |
| dc.description | Includes bibliographical references (pages 52-56). | |
| dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2020. | en_US |
| dc.description.abstract | The 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.degree | Bachelor of Science in Computer Science | |
| dc.description.statementofresponsibility | Abdul Momen Usmani | |
| dc.description.statementofresponsibility | Shafkat Hassan | |
| dc.description.statementofresponsibility | Sk. Abdul Alim | |
| dc.format.extent | 71 pages | |
| dc.identifier.other | ID 16301022 | |
| dc.identifier.other | ID 17301222 | |
| dc.identifier.other | ID 16301017 | |
| dc.identifier.uri | http://hdl.handle.net/10361/26807 | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | BRAC 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.subject | IoT | en_US |
| dc.subject | NB-IoT | en_US |
| dc.subject | Healthcare monitoring | en_US |
| dc.subject | Real-time monitoring | en_US |
| dc.subject | Hospital management system | en_US |
| dc.subject | Smart monitoring devices | en_US |
| dc.subject | Narrowband internet of things | en_US |
| dc.subject.lcsh | Internet of things. | |
| dc.subject.lcsh | Health services administration--Technological innovations. | |
| dc.subject.lcsh | Medical informatics. | |
| dc.subject.lcsh | Radio frequency modulation, Narrow-band. | |
| dc.subject.lcsh | Patient monitoring--Real-time data processing. | |
| dc.title | Edge intelligence based realtime healthcare monitoring using NB-IoT | en_US |
| dc.type | Thesis | en_US |