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Optimised distributed sensor system for covid protocol monitoring using multiprocessor architecture

Authors :
S. Venkatraman
Navansh Goel
Mohanapriya Singaravelu
Sriram Namana
M. Mohan
G. Rohith
Source :
Measurement: Sensors, Vol 25, Iss , Pp 100653- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Covid Protocol Monitoring with Multiprocessor Architecture (CPMMA) is proposed in this study as an approach for implementing a Distributed Sensor System (DSS) for covid protocol monitoring utilising multiprocessor architecture. OpenMP and MPI were used to implement the distributed system's parallel programmes, with the OpenMP code working best when used with 60–100 threads in use. CPMMA distributed sensor data was efficiently processed by a multiprocessor with 16 cores. According to the results, using a multithreaded-multiprocessing architecture and optimised Support Vector Machine classifier, the proposed design greatly enhances computing efficiency. The results of our experiments suggest that our approach may significantly enhance computing performance while also delivering adequate outcomes in a short period of time.

Details

Language :
English
ISSN :
26659174
Volume :
25
Issue :
100653-
Database :
Directory of Open Access Journals
Journal :
Measurement: Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.8031f21bf140439db1d1bdc93a6c412d
Document Type :
article
Full Text :
https://doi.org/10.1016/j.measen.2022.100653