LoRa (Long Range) is a proprietary radio communication technology exploiting license-free frequency bands, allowing low-rate information exchange over long distances with very low power consumption. Conventional environmental monitoring sensors have the disadvantage of being in fixed positions and distributed over wide areas, thus providing measurements with a spatially insufficient level of detail. Since public transport vehicles travel continuously within cities, they are ideal to house portable monitoring systems for environmental pollution and meteorological parameters. The paper presents a feasibility analysis of a Wireless Sensor Network (WSN) to collect this information from the vehicles conveying it to a central node for processing. The communication system is realized by deploying a layer-structured, fault-resistant, multi-hop Low Power Wide Area Network (LPWAN) based on the LoRa technology. Both a theoretical study about electromagnetic propagation and network architecture are addressed with consideration of potential practical network realization.

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The aim of the work is to design and develop light (less then 20 gr), expendable radioprobes to study complex micro-physical and chemical processes inside warm clouds. This includes the tracking of turbulent, both saturated and unsaturated, air parcels. With this new kind of radiosonde, we thus aim to obtain Lagrangian statistics of the intense turbulence inside warm clouds and of the lower intensity turbulence typical of the air surrounding them. The radiosonde is made of the radioprobe (the electronic board) attached to a biodegradable balloon filled with a mixture of helium and air. The system is able to float inside/into clouds for a time span of the order of a few hours and measure fluctuations of air temperature, pressure, humidity position, velocity and acceleration along with its own trajectory which Preliminary in-field experiments were carried out with a single and multiple radiosondes in different environments. Sensor readings are validated by comparison with reference values provided by INRIM traceable instrumentation and/or ARPA (Piemonte) and OAvdA nearby meteorological stations. The last two experiments, INRIM, September 29, 2021 and OAVdA, February 10, 2022, addressed the possibility to implement a distance neighbor graph algorithm (Richardson LF -1926) conceived for turbulent dispersion analysis in the atmosphere and which, actually, has not been yet realized in the context of in-field atmospheric observations.