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Hybrid Printing for the Fabrication of Smart Sensors

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Published on: January 31, 2019

A Low Power IoT Sensor Node Architecture for Waste Management Within Smart Cities Context.

Matteo Cerchecci¹, Francesco Luti², Alessandro Mecocci³

¹Department of Information Engineering and Mathematical Sciences, University of Siena, 53100 Siena, Italy. matteo.cerchecci@student.unisi.it.

Sensors (Basel, Switzerland)

|April 26, 2018

Summary

This study presents a new Internet of Things (IoT) sensor node for smart city waste management. Optimized for low power, it uses ultrasonic sensors and LoRa LPWAN technology to extend battery life and improve efficiency.

Keywords:

IoT LPWAN LoRa energy saving smart city ultrasound sensor waste management

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Area of Science:

Computer Science
Electrical Engineering
Environmental Science

Background:

Effective waste management is crucial for urban sustainability in Smart Cities.
Current systems often lack real-time data, leading to inefficiencies.
The Internet of Things (IoT) offers potential solutions for data-driven optimization.

Purpose of the Study:

To design and evaluate a novel, low-cost, low-power IoT sensor node for smart waste management.
To develop a minimal network architecture for testing the sensor node's performance.
To analyze energy-saving strategies for extending the operational lifetime of the sensor node.

Main Methods:

Development of a sensor node integrating a microcontroller, ultrasonic fill-level sensor, and LoRa LPWAN module.
Design of a LoRa gateway-based network architecture for system testing.
Implementation of hardware and software optimizations for reduced power consumption and extended battery life.
Testing of sensor and radio module effectiveness.

Main Results:

A functional IoT sensor node prototype was realized using cost-effective components.
The LoRa LPWAN technology proved suitable for low-power, long-range data transmission in waste management applications.
Hardware and software optimizations significantly reduced power consumption, enhancing battery longevity.
Effectiveness tests confirmed the reliability of the ultrasonic sensor and radio module.

Conclusions:

The developed IoT architecture provides an efficient solution for optimizing smart city waste management.
The low-power sensor node design demonstrates a viable approach to sustainable and cost-effective waste monitoring.
Further research can explore integration with broader smart city platforms and advanced data analytics.