|Title||Real - Time Geolocation Approach through LoRa on Internet of Things|
|Publication Type||Conference Paper|
|Year of Publication||2021|
|Authors||Bouras, C, Gkamas, A, Kokkinos, V, Papachristos, N|
|Conference Name||The 35th International Conference on Information Networking (ICOIN 2021), January 13 - 16, 2021, Jesu Island|
|Date Published||January 13 - 16,|
Internet of Things (IoT) and wireless technologies like LoRa brought more opportunities for application development in a plethora of different fields. One of these is location estimation of real-time objects and people. In this study, we focus on monitoring user’s location through a wearable IoT device with LoRa connectivity. The paper presents the development and integration of an loT ecosystem (Hardware and Software) which can be used in Search and Rescue (SAR) use cases. The proposed IoT ecosystem is evaluated and deployed inreal-scenarios with established gateways. After that we compare the existed location-estimation methods in terms of attenuation problem, cost and operation as well to conclude to the most suitable solution that can be integrated in LoRaWAN environments. Finally, the conclusions of this work and improvements for possible future activity are described.
Real - Time Geolocation Approach through LoRa on Internet of Things