Design and Implementation of a Wireless Sensor Network Based on the ESP32 for IoT Applications

This paper provides a general description of the implementation of a sensor network based on the System-on-Chip (SoC) ESP32. The hardware, software solutions, and other components of the designed network are presented. The wireless sensor network consists of sensor nodes and central nodes, which communicate using Wi-Fi, ESP-NOW protocols, and the MQTT protocol designed specifically for IoT devices. The measured data from the nodes are visualized and monitored through the Home Assistant service. The design of the sensor network focuses on creating a robust, low-power, and user-friendly network without relying on third-party devices and solutions. As part of the functionality verification, testing and data visualization were carried out over several months.

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Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1109/elmar62909.2024.10694153
Citations
2
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.42

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Design and Implementation of a Wireless Sensor Network Based on the ESP32 for IoT Applications

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article

Design and Implementation of a Wireless Sensor Network Based on the ESP32 for IoT Applications

Patrik Jurík, Pavol Galajda, Miroslav Sokol, Zuzana Sokolova, Frederik Pribula
article en
2 citations

Abstract

This paper provides a general description of the implementation of a sensor network based on the System-on-Chip (SoC) ESP32. The hardware, software solutions, and other components of the designed network are presented. The wireless sensor network consists of sensor nodes and central nodes, which communicate using Wi-Fi, ESP-NOW protocols, and the MQTT protocol designed specifically for IoT devices. The measured data from the nodes are visualized and monitored through the Home Assistant service. The design of the sensor network focuses on creating a robust, low-power, and user-friendly network without relying on third-party devices and solutions. As part of the functionality verification, testing and data visualization were carried out over several months.

Technical University of Košice (SK)
Agentúra na Podporu Výskumu a Vývoja, Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
Affordable and clean energy
Openalex Percentile: Top 38%
IoT-based Smart Home Systems
0.42
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