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Architecture and Applications of IoT Devices in Socially Relevant Fields

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Abstract

A multitude of IoT-enabled devices are continually being explored and introduced annually, fostering robust competition among researchers and businesses seeking to leverage the IoT landscape, given the substantial market potential of these devices. The selection of IoT architectures, communication protocols, and components is contingent upon the task’s nature and the data sensitivity the device manages, and thus, evaluating their performance becomes crucial. This paper provides a comprehensive review of IoT-enabled devices, examining their architectures, communication protocols, and functionalities in socially significant domains such as healthcare, agriculture, firefighting, safety applications (including women’s/individual safety, emergency alerts, etc.), home surveillance, and mapping—areas significantly impacting the general public. A comprehensive literature survey has been conducted to understand the various IoT architectures and compare the suitability of the aforementioned corresponding applications.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, Kanchipuram, 603110, Tamilnadu, India

    S. Anush Lakshman, S. Akash, J. Cynthia, R. Gautam & D. Ebenezer

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  1. S. Anush Lakshman
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  2. S. Akash
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  3. J. Cynthia
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  5. D. Ebenezer
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Contributions

The authors confirm their contribution to the paper as follows: Anush Lakshman S: Study conception, design, and contribution to study on agricultural IoT. Akash S: Study on Mapping, Surveillance, and health-monitoring devices. Cynthia J: Study on Safety applications of IoT. Gautam R: Study on applications of IoT in firefighting. Ebenezer D: Mentor and draft manuscript preparation. All the authors reviewed the results and approved the final version of the manuscript.

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Correspondence to S. Anush Lakshman.

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Lakshman, S.A., Akash, S., Cynthia, J. et al. Architecture and Applications of IoT Devices in Socially Relevant Fields. SN COMPUT. SCI. 5, 837 (2024). https://doi.org/10.1007/s42979-024-03159-8

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