Abstract
Low Power Wide Area Network (LPWAN) technologies aiming to provide power-efficient solutions to the world of IoT. This paper describes a solution based on the Long Range Wide Area Network (LoRaWAN) technology to geolocalise IoT modules such as wearables used from vulnerable groups. Through estimation of the behavior of a LoRaWAN channel and using trilateration and RSSI information, the localization of an IoT wearable can be obtained within a small range. Routing people in need is one of the use cases the above mechanism could be integrated so as to be able to be tracked by familiar people.
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Acknowledgements
The authors acknowledge that the starting point and the drive of this paper have been generated in the context of the project ‘WeSAR (Wearable based Search And Rescue system)’. In this framework, we would like to thank all the project partners and employees of Econais AE, Yodiwo AE and CTI (Computer Technology Institute & Press “Diophantus”) for their personal copy information and experience on this project. This research has been co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH - CREATE - INNOVATE (project code: T1EDK-01520).
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Bouras, C., Gkamas, A., Kokkinos, V., Papachristos, N. (2020). IoT Geolocation Performance Using LoRaWAN. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Advanced Information Networking and Applications. AINA 2020. Advances in Intelligent Systems and Computing, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-030-44041-1_21
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