A Multi-Layer LoRaWAN Infrastructure for Smart Waste Management

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ID: 273217
2021
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Abstract
Long Range Wide Area Network (LoRaWAN) has rapidly become one of the key enabling technologies for the development of Internet of Things (IoT) architectures. A wide range of different solutions relying on this communication technology can be found in the literature: nevertheless, the most part of these architectures focus on single task systems. Conversely, the aim of this paper is to present the architecture of a LoRaWAN infrastructure gathering under the same network different typologies of services within one of the most significant sub-systems of the Smart City ecosystem (i.e., the Smart Waste Management). The proposed architecture exploits the whole range of different LoRaWAN classes, integrating nodes of growing complexity according to the different functions. The lowest level of this architecture is occupied by smart bins that simply collect data about their status. Moving on to upper levels, smart drop-off containers allow the interaction with users as well as the implementation of asynchronous downlink queries. At the top level, Video Surveillance Units (VSUs) are provided with machine learning capabilities for the detection of the presence of fire nearby bins or drop-off containers, thus fully implementing the Edge Computing paradigm. The proposed network infrastructure and its subsystems have been tested in a laboratory and in the field. This study has enhanced the readiness level of the proposed technology to Technology Readiness Level (TRL) 3.
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baldo2021sensorsa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors David Baldo;Alessandro Mecocci;Stefano Parrino;Giacomo Peruzzi;Alessandro Pozzebon;Baldo, David;Mecocci, Alessandro;Parrino, Stefano;Peruzzi, Giacomo;Pozzebon, Alessandro;
Journal sensors
Year 2021
DOI
10.3390/s21082600
URL
https://www.mdpi.com/1424-8220/21/8/2600/htm
Keywords
edge computing iot smart city lorawan smart bin smart waste management fire detection smart drop-off container

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