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http://hdl.handle.net/2080/3603
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DC Field | Value | Language |
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dc.contributor.author | Rath, Prabin Kumar | - |
dc.contributor.author | Mahapatro, Neelam | - |
dc.contributor.author | Sahoo, Subham | - |
dc.contributor.author | Chinara, Suchismita | - |
dc.date.accessioned | 2021-12-20T06:56:47Z | - |
dc.date.available | 2021-12-20T06:56:47Z | - |
dc.date.issued | 2021-02 | - |
dc.identifier.citation | ICCCIS2021,IEEE conference on computing, communication and Intelligent system.19-20 Feb 2021 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/3603 | - |
dc.description | Copyright of this paper is with proceedings publisher | en_US |
dc.description.abstract | Sensor network and Internet of Things are the emerging paradigms for data collection and monitoring purpose today. It has significant application in industry and academic research. Body Sensor Network (BSN) has found a lot of research attention recently due to its demand in healthcare management and hospital automation. In this paper a health monitoring system has been proposed for assisting doctors and patients within a hospital. The key focus of the work is on the convenience, reliability, efficiency and scalability of the system. Real time data monitoring, doctor prescription management, data sourcing from hospitals for medical analysis are the typical contributions discussed in the paper. The work has been analyzed using network simulations to determine the performance of the proposed architecture. Two different communication protocols and their performance have been analyzed to determine the best choice for the proposed hospital management system. | en_US |
dc.subject | Body sensor network (BSN) | en_US |
dc.subject | Wireless sensor | en_US |
dc.subject | network (WSN) | en_US |
dc.subject | Raspberry Pi | en_US |
dc.subject | MQTT | en_US |
dc.subject | CoAP | en_US |
dc.subject | NS3 simulation | en_US |
dc.subject | Real time data monitoring | en_US |
dc.subject | Hospital management system | en_US |
dc.title | IoT Based Health Monitoring System for Hospital Management | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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Chinara_ICCCIS.pdf | 1.87 MB | Adobe PDF | View/Open |
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