Urban Air Pollution Monitoring by Neural Networks and Wireless Sensor Networks Based on LoRa

Alvear-Puertas, Vanessa; Rosero-Montalvo, Paúl D.; Michilena-Calderón, Jaime R.; Arciniega-Rocha, Ricardo P.; Erazo-Chamorro, Vanessa C.

doi:10.1007/978-3-030-63089-8_59

Cited by 4 publications

(5 citation statements)

References 16 publications

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“…This section presents the data analysis scheme used to locally implement the ML algorithm. It is essential to consider that, in Ibarra, it is known from previous studies that the air quality is acceptable [1,4,10]. However, it shows punctual peaks that generate risk for people.…”

Section: Discussionmentioning

confidence: 99%

“…In recent years, electronic devices have increasingly developed the number of airquality monitoring systems placed in cities. Novel IoT solutions, such as the one shown in [4,24,25], presented works where electronic systems send data to cloud computing to measure the air-quality index. In [14,26], the authors implemented classification algorithms such as the Decision Tree algorithm and data clustering on external servers, once wireless sensor networks acquired the dataset.…”

Section: Related Workmentioning

confidence: 99%

“…Indeed, cities represent only about 2% of the geographic area and accommodate over 50% of the world's population [3]. Therefore, it is necessary to describe human behavior to detect where and when traffic increases and people are at greater risk of air-pollution exposure [4]. Thus, governments can receive relevant information to propose new transport policies/alternatives that are adjusted to the specific characteristics of each city [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Smart and Portable Air-Quality Monitoring IoT Low-Cost Devices in Ibarra City, Ecuador

Alvear-Puertas

Burbano-Prado

Rosero-Montalvo

et al. 2022

Sensors

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Nowadays, increasing air-pollution levels are a public health concern that affects all living beings, with the most polluting gases being present in urban environments. For this reason, this research presents portable Internet of Things (IoT) environmental monitoring devices that can be installed in vehicles and that send message queuing telemetry transport (MQTT) messages to a server, with a time series database allocated in edge computing. The visualization stage is performed in cloud computing to determine the city air-pollution concentration using three different labels: low, normal, and high. To determine the environmental conditions in Ibarra, Ecuador, a data analysis scheme is used with outlier detection and supervised classification stages. In terms of relevant results, the performance percentage of the IoT nodes used to infer air quality was greater than 90%. In addition, the memory consumption was 14 Kbytes in a flash and 3 Kbytes in a RAM, reducing the power consumption and bandwidth needed in traditional air-pollution measuring stations.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Smart and Portable Air-Quality Monitoring IoT Low-Cost Devices in Ibarra City, Ecuador

Alvear-Puertas

Burbano-Prado

Rosero-Montalvo

et al. 2022

Sensors

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“…LoRa communication has been proposed and applied in many designs to solve the limited transmission distance problem of Wi-Fi, Bluetooth, or Zigbee. Alvear-Puertas et al (2020) proposed a model to monitor parameters CO , NO 2 , PM 10 , PM 2.5 using an STM32F107 microcontroller. The system consists of a sensor node that communicates with one server via LoRa communication.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In WSAN's vast area network, LoRa technology is considered the most optimal solution. LoRa operates at the frequencies 433, 868, and 915 MHz and can achieve very low-power and very long-range transmissions (over 10 km in line-of-sight) (Alvear-Puertas et al, 2020;Ma et al, 2018;Botero-Valencia et al, 2018;Truong, Nayyar & Showkat, 2021). LoRa is suitable for low bandwidth and relatively small payload applications.…”

Section: Introductionmentioning

confidence: 99%

A novel air quality monitoring and improvement system based on wireless sensor and actuator networks using LoRa communication

Truong

Nayyar

Masud

2021

PeerJ Computer Science

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In this paper, we study the air quality monitoring and improvement system based on wireless sensor and actuator network using LoRa communication. The proposed system is divided into two parts, indoor cluster and outdoor cluster, managed by a Dragino LoRa gateway. Each indoor sensor node can receive information about the temperature, humidity, air quality, dust concentration in the air and transmit them to the gateway. The outdoor sensor nodes have the same functionality, add the ability to use solar power, and are waterproof. The full-duplex relay LoRa modules which are embedded FreeRTOS are arranged to forward information from the nodes they manage to the gateway via uplink LoRa. The gateway collects and processes all of the system information and makes decisions to control the actuator to improve the air quality through the downlink LoRa. We build data management and analysis online software based on The Things Network and TagoIO platform. The system can operate with a coverage of 8.5 km, where optimal distances are established between sensor nodes and relay nodes and between relay nodes and gateways at 4.5 km and 4 km, respectively. Experimental results observed that the packet loss rate in real-time is less than 0.1% prove the effectiveness of the proposed system.

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Performance Determinants in LoRa Networks: A Literature Review

Gkotsiopoulos

Zorbas

Douligeris

2021

IEEE Commun. Surv. Tutorials

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Urban Air Pollution Monitoring by Neural Networks and Wireless Sensor Networks Based on LoRa

Cited by 4 publications

References 16 publications

Smart and Portable Air-Quality Monitoring IoT Low-Cost Devices in Ibarra City, Ecuador

Smart and Portable Air-Quality Monitoring IoT Low-Cost Devices in Ibarra City, Ecuador

A novel air quality monitoring and improvement system based on wireless sensor and actuator networks using LoRa communication

Performance Determinants in LoRa Networks: A Literature Review

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