Journal of ISMAC
IRO Journals
Volume 3 — Issue 2 — June 2021

Adaptability Analysis of 6LoWPAN and RPL for Healthcare applications of Internet-of-Things

https://doi.org/10.36548/jismac.2021.2.001
Pages: 69-81
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Jayaram Hariharakrishnan
Department of Information Technology, SSN College of Engineering
N Bhalaji
Department of Information Technology, SSN College of Engineering
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How to Cite

Hariharakrishnan, Jayaram, and N Bhalaji. 2021. “Adaptability Analysis of 6LoWPAN and RPL for Healthcare Applications of Internet-of-Things”. Journal of ISMAC 3 (2): 69-81. https://doi.org/10.36548/jismac.2021.2.001.
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Keywords

— Thermoregulation
— RPL
— 6LoWpan
— IoT-Healthcare
Published: 11-05-2021

Abstract

Ubiquitous Networks powered by Wireless Sensor Networks (WSN) is cutting across many technologies assisting day-to-day human activities. This technology confers the ability to sense and surmise the external environmental factors of various ecologies. Interconnection of these sensing devices for Machine to Machine (M2M) communication leads to the origination of Internet-of-Things (IoT). Recent advancements in the technology of Internet-of-Things guides the production of smart objects that can accomplish location, identification, connection and measurement of external factors. This leads to a new type of communication paradigm between objects and humans. One of the important problem due to the population explosion that can be addressed by IoT is the Healthcare of individual human beings. Remote health monitoring is one of the greatest technology exploited in medical professionals to keep a check on the patient's important health factors periodically. This was done in a smaller geographical area before the era of IoT. As IoT can communicate to other Internet, This remote healthcare monitoring can now be applied over a wider geographical topology. This paper extensively analyses the performance of 6LoWPAN and RPL IoT for healthcare applications. This paper especially focuses on monitoring an athlete's thermoregulation. Also, a new technique to identify and train marathon athletes to the race topography has been proposed. In this technique, each athlete is fitted with wearable sensors in their body in the training session to monitor and analyze the thermoregulation process occurring during training. After a detailed analysis of the athletes' thermoregulation process, personal training schedules are charted down according to variation in the thermoregulation process in each athlete. This technique helps to monitor each athlete's progress personally with less number of coaches and medical professionals leading to the prevention of unexpected death of a healthy athlete.

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