An Orthogonal Air Pollution Monitoring Method (OAPM) Based on LoRaWAN

Abstract

High accuracy air pollution monitoring in a smart city requires the deployment of a huge number of sensors in this city. One of the most appropriate wireless technologies expected to support high density deployment is LoRaWAN which belongs to the Low Power Wide Area Network (LPWAN) family and offers long communication range, multi-year battery lifetime and low cost end devices. It has been designed for End Devices (EDs) and applications that need to send small amounts of data a few times per hour. However, a high number of end devices breaks the orthogonality of LoRaWAN transmissions, which was one of the main advantages of LoRaWAN. Hence, network performances are strongly impacted. To solve this problem, we propose a solution called OAPM (Orthogonal Air Pollution Monitoring) which ensures the orthogonality of LoRaWAN transmissions and provides accurate air pollution monitoring. In this paper, we show how to organize EDs into clusters and sub-clusters, assign transmission times to EDs, configurate and synchronize them, taking into account the specificities of LoRaWAN and the features of the air pollution monitoring application. Simulation results corroborate the very good behavior of OAPM.

LoRa Sensor Node Mounted on Drone for Monitoring Industrial Area Gas Pollution

“…According to one study by [24]. LoRa can provide appropriate coverage for networks of up to 3km in a metropolitan region with several residential buildings.…”

“…LoRa is ideal for applications that send small amounts of data at slow bit rates. Data can be transferred farther than it can with ZigBee, Bluetooth, or WiFi technologies [24,25].…”

“…Zorbas et al [43] suggested an Air Pollutants Monitoring Using UAVs project for flying mobile devices to determine a toll to assess air quality vertically at various altitudes. Haiahem et al,[24] proposed using the AIRWISE airborne WSN system to measure and track environmental air pollution continuously. In order to make monitoring of air contaminants easier, the author of [44] proposes a data-collecting system and how it can be coupled with a UAV.…”