Improving Health WSN with Distinguished Cloud Computing for Multi-Sensor Analytics


Moiz Mirza Baig
Dr.Shrikant Sonekar


In the twenty-first century, automation has become more prevalent in large part due to the Internet of Things (IoT). The integration of IoT, Wireless Sensor Networks (WSNs) and health monitoring system with multi-cloud environment can optimize a lot of parameters like bandwidth, communication protocols and redundancy of the sensor network. The proposed architecture is introduced keeping in mind the current health infrastructure and monitoring system with different types of network framework. We have also discussed about machine to machine protocols for health monitoring with common entities linked with building communication protocols. The sensors data analytics carried out can sustain multi-level computation is the idea behind this research prospect to give greater depth about direct applicability in multi cloud sensor communication protocols.  The offered prototype, when modelled with the unique communication system, produces a more efficient model than the standard way, with a system that is 98 percent more accurate.


Author Biography

Dr.Shrikant Sonekar, Dr.Babasaheb Ambedkar Technical University,Lonere,Maharashatra

Dr. SHRIKANT VIJAYRAO SONEKAR} has done Ph.D. Computer Science & Engineering from Rashtrasant Tukadoji Maharaj Nagpur University(RTMNU), Nagpur in 2017. Currently he's working as Officiating Principal at J D College of Engineering and Management (JDCOEM), Nagpur. He has worked almost a decade in various capacities like H.O.D, B.E. and M.Tech, Computer Science and Engineering-Information Technology.

Mr. Mirza Moiz Baig} (CSE) M.Tech. (CSE)  (Fellow, ISTE) is currently working as an Assistant Professor  at Department of Computer Science and Engg. at JD College of Engineering and Management, Nagpur, India. He is pursuing his Ph.D.  in Computer Science and Engineering from JD College of Engineering and Management .

How to Cite
Mirza Baig, M., & Sonekar, D. . (2022). Improving Health WSN with Distinguished Cloud Computing for Multi-Sensor Analytics. International Journal of Next-Generation Computing, 13(5).


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