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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM16389
Volume:
6 |
9 |
Sep 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The Indian armed forces is the second largest Military force in the world comprising of 1.4 million+ personnel’s (Active force) and 1.1 million+ reserved personnel’s. Apart from their duty of safeguarding its borders, the Military personnel’s are also engaged in Search and Rescue operations (SAR) across the globe. The SAR is conducted both for Military personnel’s and Civilians. The search and rescue operations are carried on varied demographic regions ranging from Snow areas ( -500 C) to Deserts ( +550 C), also SAR is conducted during natural calamities like Earthquake, Floods, Tsunami, Avalanche, Landslides etc. But the main challenge for any Military personnel in SAR is to identify whom to rescue first. By saying this we mean that if the personnel has the knowledge about the Vitals of the individual he/she is rescuing then he/she will be able to assess the gravity of the situation through those vitals. Vitals like SP02, Blood Pressure, Pulse rate can predict the survivability factor of the individual. So it means that if out of three individuals the Vitals of 1st person are serious and Vitals of the 2nd Person are Normal and the Vitals of the 3rd Person are Null, then it can be predicted that the 1st person should be rescued first and the 2nd person be rescued Second and the 3rd person whose Vitals are Null can be presumed dead and shall be rescued at the last. Now the main challenge comes, and that is how to gather those Vitals. The answer to this problem has been suggested through the experiments conducted in this paper. This paper suggests for a wireless sensor wrist band supporting LoRaWAN protocol ( Long Range Wide Area Network). The LoRaWAN uses LoRa Radio to transmit in low power at long-range wide area network. The aforementioned wristband shall transmit data to the AWS Cloud using AWS IoT Core. The AWS Cloud will aggregate the data received from all the people wearing the wrist band. From the aforesaid data those persons can be easily identified
KEYWORDS
Publication Date
9/17/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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