Smart Sensing in Mobility: a LoRaWAN Architecture for Pervasive Environmental Monitoring

Addabbo, Tommaso; Fort, Ada; Mugnaini, Marco; Parri, Lorenzo; Pozzebon, Alessandro; Vignoli, Valerio

doi:10.1109/rtsi.2019.8895563

Cited by 17 publications

(10 citation statements)

References 16 publications

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“…The smart cities project in Toledo/Brazil aims to develop applications in typical smart city domains such as environmental monitoring [43,44], public transport [32], and fleet vehicle tracking [13]. As the first step, we deployed the LoRaWAN network at the UTFPR-Toledo campus.…”

Section: Methodsmentioning

confidence: 99%

Deployment of a LoRaWAN network and evaluation of tracking devices in the context of smart cities

Camargo

Spanhol

Souza

2021

J Internet Serv Appl

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Recent public cooperation between the Federal University of Technology – Parana (UTFPR) and the Toledo Municipality plans to implement the concept of smart cities in this city. In this context, one of the applications under development intends to track the recyclable garbage collector trucks in real time over the Internet. Actually, fleet vehicle tracking is one of the main applications for smart cities. LoRaWAN stands out among network technologies for smart cities due to operating in an open frequency range, covering long distances with low power consumption and low equipment cost. However, the coverage and performance of LoRaWAN is directly affected by both the environment and configuration parameters. In addition, tracking devices must be able to send its coordinates to the Internet even when the vehicle goes through zones where there are obstacles for electromagnetic waves such as elevated buildings or valleys. In this paper we perform experimental investigations to evaluate four LoRaWAN tracking devices, two available out of the box and two assembled and programmed. The behavior of each tracking device is analyzed when moving at a constant speed through three representative urban areas totaling 10.71 km2. The two most efficient tracking devices are analyzed in a stretch of 3.5 km with speeds ranging from 0 to 30 km/h, 0 to 50 km/h and 0 to 100 km/h. Results include a quantitative and qualitative aspects, including the received signal strength indication (RSSI), signal-to-noise ratio (SNR), packet delivery ratio (PDR), and spreading factor (SF) for the received geographic coordinates. As the devices depend on the quality of the signal offered by the network, we also present the results of the development and evaluation of the LoRaWAN network, by planning its coverage throughout the city.

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Section: Methodsmentioning

confidence: 99%

Deployment of a LoRaWAN network and evaluation of tracking devices in the context of smart cities

Camargo

Spanhol

Souza

2021

J Internet Serv Appl

View full text Add to dashboard Cite

show abstract

“…The smart cities project in Toledo/Brazil aims to develop applications in typical smart city domains such as environmental monitoring [43,44], public transport [32], and fleet vehicles tracking [13]. As the first step, we deployed the LoRaWAN network at the UTFPR-Toledo campus.…”

Section: Methodsmentioning

confidence: 99%

Deployment of a Lorawan Network and Evaluation of Tracking Devices in the Context of Smart Cities

Camargo

Spanhol

Souza

2020

Preprint

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Recent public cooperation between the Federal University of Technology Paraná and Toledo Municipality plans to implement the concept of smart cities in this city. In this context, one of the applications under development intends to track the recyclable garbage collector trucks in real time over the Internet. Actually, fleet vehicle tracking is one of the main applications for smart cities. LoRaWAN stands out among network technologies for smart cities due to operating in an open frequency range, covering long distances with low power consumption and low equipment cost. However, the coverage and performance of LoRaWAN is directly affected by both the environment and configuration parameters. In addition, tracking devices must be able to send its coordinates to the Internet even when the vehicle goes through zones where there are obstacles for electromagnetic waves, such as elevated buildings or valleys. In this paper we perform experimental investigations to evaluate four LoRaWAN tracking devices, two out of the box commercial and two assembled and programmed. The behavior of each tracking device is analyzed when moving through three representative urban areas. As the devices depend on the quality of the signal offered by the network, we also present the results of the development and evaluation of the LoRaWAN network, planning its coverage throughout the city. Results of tracking devices were analyzed under quantitative and qualitative aspects, including the received signal strength indication (RSSI), signal-to-noise ratio (SNR), package delivery ratio (PDR), and spreading factor (SF) for the geographic coordinates received.

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“…T. Addabbo et al [12] proposed a wireless sensing architecture for the environmental monitoring system. This experiment dynamically collects data from pervasive areas through public transport.…”

Section: Related Workmentioning

confidence: 99%

Towards Smart Sensing Systems: A New Approach to Environmental Monitoring Systems by Using LoRaWAN

Qadir

Bütün

Lagerström

et al. 2022

2022 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC)

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The proliferation of monitoring in unpredictable environments has aided the world in solving challenges that were previously thought to be insurmountable. Drastic advancement has been pinpointed in the way we live, work, and play; however, the data odyssey has yet started. From sensing to monitoring, the endless possibility enabled by LoRa, the long-range low power solution has made its mark on the technological world. With the adoption of the LoRaWAN, the long-range low power wide area network has appeared in existence to cope with the constraints associated with the Internet of Things (IoT) infrastructure. This paper presents a practical experiment for sensing the environmental condition using the LoRaWAN solution. The proposed work allows the users to check the environmental effects (temperature, and humidity) online. Furthermore, the signal behavior has been recorded and cross-verified by using MATLAB software implementation.

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Smart Sensing in Mobility: a LoRaWAN Architecture for Pervasive Environmental Monitoring

Cited by 17 publications

References 16 publications

Deployment of a LoRaWAN network and evaluation of tracking devices in the context of smart cities

Deployment of a LoRaWAN network and evaluation of tracking devices in the context of smart cities

Deployment of a Lorawan Network and Evaluation of Tracking Devices in the Context of Smart Cities

Towards Smart Sensing Systems: A New Approach to Environmental Monitoring Systems by Using LoRaWAN

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