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A Multi-Layer LoRaWAN Infrastructure for Smart Waste Management.

David Baldo1, Alessandro Mecocci1, Stefano Parrino1

  • 1Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy.

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Summary

This study introduces a versatile Long Range Wide Area Network (LoRaWAN) architecture for smart city waste management. It integrates diverse IoT devices, from smart bins to edge-computing surveillance, enhancing urban efficiency.

Keywords:
IoTLoRaWANedge computingfire detectionsmart binsmart citysmart drop-off containersmart waste management

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Area of Science:

  • * Internet of Things (IoT)
  • * Smart City Technologies
  • * Wireless Communication Networks

Background:

  • * Existing Long Range Wide Area Network (LoRaWAN) architectures often focus on single-task systems.
  • * Smart Waste Management is a critical component of Smart City development.
  • * There is a need for integrated IoT solutions within urban infrastructure.

Purpose of the Study:

  • * To present a novel LoRaWAN architecture capable of supporting multiple, diverse services within a Smart Waste Management system.
  • * To demonstrate the integration of various IoT device complexities and functionalities under a unified network.
  • * To advance the application of Edge Computing within urban IoT deployments.

Main Methods:

  • * Development of a hierarchical LoRaWAN network architecture.
  • * Integration of different LoRaWAN device classes (Class A, B, C) for varying functionalities.
  • * Implementation of smart bins, smart drop-off containers, and Video Surveillance Units (VSUs) with machine learning capabilities.
  • * Testing and validation of the network infrastructure in laboratory and field environments.

Main Results:

  • * Successful integration of multiple service typologies (data collection, user interaction, edge computing) within a single LoRaWAN network.
  • * Demonstration of increasing node complexity for advanced functions like fire detection using machine learning at the edge.
  • * Validation of the proposed architecture's feasibility through rigorous testing.

Conclusions:

  • * The proposed LoRaWAN architecture effectively integrates diverse IoT services for Smart Waste Management.
  • * The system demonstrates the potential of Edge Computing for enhanced urban monitoring and safety.
  • * The technology has reached Technology Readiness Level (TRL) 3, indicating significant development progress.