Next Article in Journal
Low-Velocity Impact Localization on a Honeycomb Sandwich Panel Using a Balanced Projective Dictionary Pair Learning Classifier
Previous Article in Journal
A Hydraulic Pump Fault Diagnosis Method Based on the Modified Ensemble Empirical Mode Decomposition and Wavelet Kernel Extreme Learning Machine Methods
Open AccessArticle

A Multi-Layer LoRaWAN Infrastructure for Smart Waste Management

Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Carles Gomez
Sensors 2021, 21(8), 2600; https://doi.org/10.3390/s21082600
Received: 9 March 2021 / Revised: 26 March 2021 / Accepted: 2 April 2021 / Published: 7 April 2021
(This article belongs to the Section Sensor Networks)
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. View Full-Text
Keywords: smart waste management; smart city; LoRaWAN; fire detection; smart bin; smart drop-off container; IoT; edge computing smart waste management; smart city; LoRaWAN; fire detection; smart bin; smart drop-off container; IoT; edge computing
Show Figures

Figure 1

MDPI and ACS Style

Baldo, D.; Mecocci, A.; Parrino, S.; Peruzzi, G.; Pozzebon, A. A Multi-Layer LoRaWAN Infrastructure for Smart Waste Management. Sensors 2021, 21, 2600. https://doi.org/10.3390/s21082600

AMA Style

Baldo D, Mecocci A, Parrino S, Peruzzi G, Pozzebon A. A Multi-Layer LoRaWAN Infrastructure for Smart Waste Management. Sensors. 2021; 21(8):2600. https://doi.org/10.3390/s21082600

Chicago/Turabian Style

Baldo, David; Mecocci, Alessandro; Parrino, Stefano; Peruzzi, Giacomo; Pozzebon, Alessandro. 2021. "A Multi-Layer LoRaWAN Infrastructure for Smart Waste Management" Sensors 21, no. 8: 2600. https://doi.org/10.3390/s21082600

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop