Cloud-Connected Wearable Devices for Lone Worker Protection With Wireless Sensor Networks

Various sectors continue to prioritize lone worker safety, which requires creative ways to provide quick support and monitoring. To safeguard lone workers, this paper introduces a new method that makes use of cloud-connected wearable devices that are coupled with Wireless Sensor Networks (WSNs). The system design relies on sensors embedded in wearable devices that can monitor a range of environmental elements as well as the vital signs of workers. A central cloud platform receives data in real-time via wireless communication from these devices and processes and analyzes it. The system may detect possible dangers or crises using smart techniques and immediately notify those who are supposed to react or the proper authorities. Cloud computing also makes it easy to store, analyze, and monitor large amounts of data over time, which is great for doing proactive risk assessments and improving safety standards. It demonstrates solution's capacity to improve lone worker safety, reduce reaction times, and mitigate hazards via simulations and actual deployment scenarios, efficacy and dependability. This growing body of knowledge on how to protect lone workers in various workplaces by using the power of IoT and cloud computing.

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Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/icses63445.2024.10763014
Citations
2
Primary Topic
Technostress in Professional Settings
Type
article
Field-Weighted Citation Impact
1.29
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Cloud-Connected Wearable Devices for Lone Worker Protection With Wireless Sensor Networks

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article

Cloud-Connected Wearable Devices for Lone Worker Protection With Wireless Sensor Networks

Rajesh Kambattan Kovarasan, A. Ramesh Babu, N. Mohankumar, Cidambi Srinivasan, M Sampoornam, K. K. Manivannan
article en
2 citations

Abstract

Various sectors continue to prioritize lone worker safety, which requires creative ways to provide quick support and monitoring. To safeguard lone workers, this paper introduces a new method that makes use of cloud-connected wearable devices that are coupled with Wireless Sensor Networks (WSNs). The system design relies on sensors embedded in wearable devices that can monitor a range of environmental elements as well as the vital signs of workers. A central cloud platform receives data in real-time via wireless communication from these devices and processes and analyzes it. The system may detect possible dangers or crises using smart techniques and immediately notify those who are supposed to react or the proper authorities. Cloud computing also makes it easy to store, analyze, and monitor large amounts of data over time, which is great for doing proactive risk assessments and improving safety standards. It demonstrates solution's capacity to improve lone worker safety, reduce reaction times, and mitigate hazards via simulations and actual deployment scenarios, efficacy and dependability. This growing body of knowledge on how to protect lone workers in various workplaces by using the power of IoT and cloud computing.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Symbiosis International University (IN), Saveetha University (IN)
Decent work and economic growth
Openalex Percentile: Top 17%
Technostress in Professional Settings
1.29
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