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All Journal Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Pradita Maulidya Efendi
Universitas Dinamika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Health Professions Materials Science & Nanotechnology

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LoRA-LoRaWAN Communication Multinode for 3D Localization in Coastal Environment Musayyanah Musayyanah; Pauladie Susanto; Pradita Maulidya Efendi; Charisma Dimas Affandi; Kristin Lebdaningrum; Theodorus Visser Inulima
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 1 (2025): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/xv8hwc75

Abstract

The application of LoRAWAN on Internet of Things (IoT) technology is  to communicate in real time and accommodate data from many nodes based on device addresses. LoRAWAN device communication is able to reach distances of up to kilometers with low cost, compared to high-frequency cellular communication currently installed on the coast. This application can be done on LoRA devices to forward the results of three-dimensional localization based on signal strength. This research was  to conduct three-dimensional localization based on signal strength from three LoRa End Nodes (EN) to four LoRa Anchor Nodes (AN), then forwarded to the server to be displayed on the Datacakes application. Localization begins with a path loss model analysis to determine the path loss coefficient. The localization results were  in the form of data packets consisting of longitude, latitude, and altitude position parameters and the results of the EN to AN distance conversion. The data packet was  forwarded to the The Things Networks (TNN) server with Over The Air Activation (OTAA) activation mode. Root Mean Square Error (RMSE) analysis of the localization results for EN1 was  169.35 meters, EN2 was  395.08 meters and EN3 was  183.24 meters. The localization data packets were  forwarded to the cloud server via the GW device. Analysis of GW communication with EN is shown by the Packet Error Ratio (PER), Air Time (AT), and latency parameters. The smallest PER results, fastest AT and lowest latency were  obtained from GW communication with EN2, where the position of EN2 was  closest to GW among the other ENs.
Co-Authors Charisma Dimas Affandi Kristin Lebdaningrum Musayyanah Musayyanah Pauladie Susanto Theodorus Visser Inulima