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Home surveillance system based on LoRa backscattering.

Marc Lazaro¹, Antonio Lazaro², Ramon Villarino²

¹Department of Electric, Electronic and Automatic Engineering, Rovira i Virgili University, 43007, Tarragona, Spain. marc.lazaro@urv.cat.

Scientific Reports

|April 8, 2025

Summary

This study presents a battery-free wireless burglar alarm using LoRa backscattering technology. It significantly reduces power consumption for long-term, maintenance-free operation of wireless sensor networks.

Keywords:

Backscattering Battery free Internet of Things LoRa RFID

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Area of Science:

Wireless communication
Internet of Things (IoT)
Energy harvesting

Background:

Traditional wireless alarm systems require frequent battery replacements, increasing maintenance costs and environmental impact.
Existing low-power wireless solutions often compromise on performance or range.
There is a need for sustainable, long-term wireless sensing solutions for security applications.

Purpose of the Study:

To develop a battery-free wireless burglar alarm system utilizing LoRa backscattering.
To minimize power consumption in wireless sensor nodes for reduced maintenance.
To enable a large number of sensors to operate on a single receiver within the same frequency channel.

Main Methods:

Designed a wireless node with integrated energy management and RF front-end for LoRa backscattering.
Developed a fully analog modulation communication protocol to optimize power and responsiveness.
Utilized the frequency detection capabilities of commercial LoRa transceivers to identify sensor origins.

Main Results:

Demonstrated a functional battery-free wireless burglar alarm system.
Achieved significant power reduction in wireless nodes.
Successfully integrated multiple sensors on a single receiver using LoRa backscattering and frequency detection.

Conclusions:

The proposed LoRa backscattering system offers a viable, battery-free solution for wireless burglar alarms.
This approach significantly reduces maintenance requirements and enhances system sustainability.
The novel communication protocol and sensor identification method enable scalable and efficient wireless sensing networks.