IR @ Nirma University
Keeping in tune the global developments we are creating an institutional repository using DSpace Software (Digital Library Software). We are archiving institutional knowledge like, faculty papers, theses, and dissertations in PDF format at DSpace. Students can access this digital information anywhere in the campus.
Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/11370| Title: | SDN Enabled IOT for Healthcare Application |
| Authors: | Shah, Ayush |
| Keywords: | Computer 2020 Project Report 2020 Computer Project Report Project Report 20MCEI 20MCEI12 INS INS 2020 CE (INS) |
| Issue Date: | 1-Jul-2022 |
| Publisher: | Institute of Technology |
| Series/Report no.: | 20MCEI12; |
| Abstract: | Rapid advancements in automated data gathering methods have resulted in a flood of health-care-related data being stored in scattered, heterogeneous, and enormous databases. Healthcare is one of the first sectors to use IOT- Internet of Things and ML- Machine Learning to extend average life expectancies and reduce mortality rate. Since then, significant progress has been made in terms of achieving real time concrete results and reducing latency. This study aims to provide a comprehensive and objective overview of fog computing and the SDN- software defined networking framework for massive data processing in the healthcare industry. Both of these emerging technologies have a lot of potential in this particular healthcare field. |
| URI: | http://10.1.7.192:80/jspui/handle/123456789/11370 |
| Appears in Collections: | Dissertation, CE (INS) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 20MCEI12.pdf | 20MCEI12 | 448.29 kB | Adobe PDF |  View/Open |
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