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Updated: May 10, 2025

Construction of a Wireless-Enabled Endoscopically Implantable Sensor for pH Monitoring with Zero-Bias Schottky Diode-based Receiver

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Dual-Mode Data Collection for Periodic and Urgent Data Transmission in Energy Harvesting Wireless Sensor Networks.

¹Division of AI Computer Science and Engineering, Kyonggi University, Suwon-si 16227, Republic of Korea.

Sensors (Basel, Switzerland)

|April 26, 2025

Summary

This study introduces an energy-efficient dual-mode data collection scheme for wireless sensor networks (WSNs) using Long Range Wide Area Network (LoRaWAN) and Bluetooth Low Energy (BLE). It enhances urgent message delivery and overall data collection efficiency in energy-harvesting environments.

Keywords:

dual-mode energy harvesting periodic data urgent data wireless sensor networks

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Area of Science:

Computer Science
Electrical Engineering
Environmental Science

Background:

Wireless Sensor Networks (WSNs) face limited longevity due to battery dependence.
Energy harvesting offers a sustainable solution but often struggles with efficient surplus energy utilization.
Existing methods lack robust strategies for managing energy and prioritizing urgent data in harvested-powered WSNs.

Purpose of the Study:

To propose an energy-efficient dual-mode data collection scheme for energy-harvesting WSNs.
To enhance the reliability of urgent data transmission while optimizing energy consumption for periodic data.
To improve the overall performance of WSNs in environmental monitoring applications.

Main Methods:

Integration of Long Range Wide Area Network (LoRaWAN) and Bluetooth Low Energy (BLE) protocols.
Dynamic adjustment of sensing intervals based on harvested energy predictions.
Implementation of a multi-hop routing strategy with redundant paths for urgent BLE transmissions.
Single-hop LoRaWAN transmission for periodic environmental data collection.

Main Results:

Significant enhancement in data collection efficiency demonstrated through simulations.
Improved reliability for urgent message delivery compared to existing approaches.
Effective energy management through dynamic sensing intervals and prioritized transmissions.

Conclusions:

The proposed dual-mode scheme offers a viable solution for energy-harvesting WSNs.
The integration of LoRaWAN and BLE effectively balances energy efficiency and urgent data reliability.
Future research will focus on optimizing redundant transmissions and incorporating error correction for further reliability improvements.