Design and Implementation of a Low-Power Wireless Sensor Network for Environmental Monitoring in IoT Environments

A wave of IoT devices is being used these days, and keeping the environment stable around them can become challenging. The real-time data collection and analysis of WSN (Wireless Sensor Network) is the only solution that can provide monitoring. In this paper, an ultra-low-power WSN is designed and implemented for monitoring purposes in IoT environments. A full WSN includes low-power environmental sensors, a mesh network of nodes, and a base station functioning as an interface between the Internets. Various sensors monitor ecological parameters like temperature, humidity, and air quality. This data is then sent to the base station over a mesh network, made energy efficient by employing low-power communication protocols. The base station later collates and stores data that is available online for remote access. It is a highly scalable system that supports adding new sensors and nodes as desired. It also integrates security controls to secure the data at rest. The WSN has been deployed successfully in a real-world application, and it is advantageous for sensors to have low power consumption, leading to longer battery life.

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/autocom64127.2025.10956915
Citations
2
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
2.97
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article

Design and Implementation of a Low-Power Wireless Sensor Network for Environmental Monitoring in IoT Environments

Pavan Chaudhary, Rekha Chakravarthi, Harsimrat Kandhari, V. Babu R. Dushyanth et al.
2 citations
Energy Efficient Wireless Sensor Networks
2.97
article

Design and Implementation of a Low-Power Wireless Sensor Network for Environmental Monitoring in IoT Environments

Pavan Chaudhary, Rekha Chakravarthi, Harsimrat Kandhari, V. Babu R. Dushyanth, Sudhanshu Dev, Madhusree Kuanr
article en
2 citations

Abstract

A wave of IoT devices is being used these days, and keeping the environment stable around them can become challenging. The real-time data collection and analysis of WSN (Wireless Sensor Network) is the only solution that can provide monitoring. In this paper, an ultra-low-power WSN is designed and implemented for monitoring purposes in IoT environments. A full WSN includes low-power environmental sensors, a mesh network of nodes, and a base station functioning as an interface between the Internets. Various sensors monitor ecological parameters like temperature, humidity, and air quality. This data is then sent to the base station over a mesh network, made energy efficient by employing low-power communication protocols. The base station later collates and stores data that is available online for remote access. It is a highly scalable system that supports adding new sensors and nodes as desired. It also integrates security controls to secure the data at rest. The WSN has been deployed successfully in a real-world application, and it is advantageous for sensors to have low power consumption, leading to longer battery life.

Jain University (IN), Siksha O Anusandhan University (IN), Maharishi University of Management and Technology (IN), Sathyabama Institute of Science and Technology (IN), Chitkara University (IN)
Openalex Percentile: Top 9%
Energy Efficient Wireless Sensor Networks
2.97
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Design and Implementation of a Low-Power Wireless Sensor Network for Environmental Monitoring in IoT Environments — Pavan Chaudhary, Rekha Chakravarthi, et al. · (2025) | TGRS Research Map | TGRS