Data Collection Analysis: Field Experiments with Wireless Sensors and Unmanned Aerial Vehicles

Vladuta, Valentin-Alexandru; Apostol, Ioana; Ghimeş, Ana-Maria

doi:10.1109/iccomm.2018.8430172

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…In that sense, some decision-making systems have been designed using both Local Area Networks (LANs) for the monitoring of local air quality or generating an alarm while under a gas pollution event [ 35 , 36 ] and Wide Area Networks (WANs) for remote control and monitoring [ 37 , 38 , 39 ]. Many WSNs have been deployed to cover a broad range of applications such as precision agriculture [ 40 , 41 , 42 ], healthcare [ 43 , 44 , 45 ], military industry [ 46 , 47 , 48 ], and air quality monitoring [ 22 , 24 , 25 ]. The application fields for WSNs are becoming wider every day.…”

Section: Introductionmentioning

confidence: 99%

LoRa Sensor Network Development for Air Quality Monitoring or Detecting Gas Leakage Events

González

Casanova-Cháfer

Romero

et al. 2020

Sensors

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During the few last years, indoor and outdoor Air Quality Monitoring (AQM) has gained a lot of interest among the scientific community due to its direct relation with human health. The Internet of Things (IoT) and, especially, Wireless Sensor Networks (WSN) have given rise to the development of wireless AQM portable systems. This paper presents the development of a LoRa (short for long-range) based sensor network for AQM and gas leakage events detection. The combination of both a commercial gas sensor and a resistance measurement channel for graphene chemoresistive sensors allows both the calculation of an Air Quality Index based on the concentration of reducing species such as volatile organic compounds (VOCs) and CO, and it also makes possible the detection of NO2, which is an important air pollutant. The graphene sensor tested with the LoRa nodes developed allows the detection of NO2 pollution in just 5 min as well as enables monitoring sudden changes in the background level of this pollutant in the atmosphere. The capability of the system of detecting both reducing and oxidizing pollutant agents, alongside its low-cost, low-power, and real-time monitoring features, makes this a solution suitable to be used in wireless AQM and early warning systems.

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