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With the advent of smart technology and real-time monitoring, the combination of wireless communication and sensor networks is growing more critical. This study investigates the design and implementation of a mesh network based on Nordic Semiconductor nRF52832 development boards with a view to real-time environmental monitoring and novel applications of its miniature node variant. The nRF52832, featuring Bluetooth Low Energy (BLE), provides an energy-conscious and power-efficient solution for wireless data transmission. Using this technology, we simplify the sensor data collection, transmission, and analysis process. This research uses biosensors like SHT40 (temperature and humidity) and LIS3DH (low-power accelerometer) to collect critical environmental and motion data. The information collected is then transmitted via the BLE network onto our Nordic Semiconductor nRF52832 development board. The complete mesh network consisted of 5 BLE-enabled sensor nodes, each transmitting environmental data to a central node over a distance of 30 m in a controlled indoor environment. Average power consumption was recorded as 3.2 mW per node during active transmission. The modularity and miniature size of the nRF52832-based nodes lend themselves to health monitoring, home automation, industrial IoT, and predictive analytics applications. With its scalability and demonstrated efficiency, the system developed here shows strong promise for practical deployments. Future advancements may include long-range BLE repeaters, AI-based anomaly detection, and integration with edge computing nodes for real-time decision-making.

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Design and Experimental Evaluation of an nRF52832-Based Bluetooth Mesh Network for Efficient Sensor Data Collection and Cloud-Based Visualization

  • 会议论文

  • 发表日期：

    2026年

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  • Mokshda Malhotra,
  • Aditi Sharma,
  • Surbhi Sharma,
  • Rajesh Khanna

摘要

With the advent of smart technology and real-time monitoring, the combination of wireless communication and sensor networks is growing more critical. This study investigates the design and implementation of a mesh network based on Nordic Semiconductor nRF52832 development boards with a view to real-time environmental monitoring and novel applications of its miniature node variant. The nRF52832, featuring Bluetooth Low Energy (BLE), provides an energy-conscious and power-efficient solution for wireless data transmission. Using this technology, we simplify the sensor data collection, transmission, and analysis process. This research uses biosensors like SHT40 (temperature and humidity) and LIS3DH (low-power accelerometer) to collect critical environmental and motion data. The information collected is then transmitted via the BLE network onto our Nordic Semiconductor nRF52832 development board. The complete mesh network consisted of 5 BLE-enabled sensor nodes, each transmitting environmental data to a central node over a distance of 30 m in a controlled indoor environment. Average power consumption was recorded as 3.2 mW per node during active transmission. The modularity and miniature size of the nRF52832-based nodes lend themselves to health monitoring, home automation, industrial IoT, and predictive analytics applications. With its scalability and demonstrated efficiency, the system developed here shows strong promise for practical deployments. Future advancements may include long-range BLE repeaters, AI-based anomaly detection, and integration with edge computing nodes for real-time decision-making.