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RSSI-Based LoRa Simulation Environment: An MLP Application for Position Estimation

Cilt: 14 26 Ağustos 2026
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RSSI-Based LoRa Simulation Environment: An MLP Application for Position Estimation

Öz

In this study, an interactive simulation framework was developed to analyze the behavior of Received Signal Strength Indicator (RSSI) values in LoRa-based communication links. This Python-based framework was specifically designed to model a two-dimensional space containing fixed LoRa nodes, mobile targets, and multiple obstacles made of materials such as concrete, brick, wood, glass, and vegetation. Signal attenuation was calculated by combining the Free Space Path Loss (FSPL) model with material-based attenuation coefficients. The accuracy and functionality of the developed framework were validated through position estimation models based on Multi-Layer Perceptron (MLP) networks trained with simulated RSSI data. Nine models were constructed across three environmental scenarios and three sensor configurations to systematically evaluate the impact of sensor density and environmental complexity on positioning accuracy. The findings indicate that the proposed method demonstrates robust estimation performance even in environments with dense and complex obstacles. Furthermore, the ability of the system to simultaneously track multiple moving targets demonstrates the adaptability of the developed framework to practical applications. In conclusion, this study provides a flexible and reproducible research platform for evaluating RSSI-based position estimation algorithms and machine learning approaches.

Anahtar Kelimeler

Kaynakça

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  4. [4] H. Kwasme and S. Ekin, “RSSI-based localization using LoRaWAN technology,” IEEE Access, vol. 7, pp. 99856–99866, 2019.
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Yazılım Testi, Doğrulama ve Validasyon, Elektrik Mühendisliği (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

26 Ağustos 2026

Gönderilme Tarihi

15 Kasım 2025

Kabul Tarihi

26 Aralık 2025

Yayımlandığı Sayı

Yıl 2026 Cilt: 14

Kaynak Göster

APA
Erkan, E. (2026). RSSI-Based LoRa Simulation Environment: An MLP Application for Position Estimation. Balkan Journal of Electrical and Computer Engineering, 14. https://doi.org/10.17694/bajece.1824248
AMA
1.Erkan E. RSSI-Based LoRa Simulation Environment: An MLP Application for Position Estimation. Balkan Journal of Electrical and Computer Engineering. 2026;14. doi:10.17694/bajece.1824248
Chicago
Erkan, Emre. 2026. “RSSI-Based LoRa Simulation Environment: An MLP Application for Position Estimation”. Balkan Journal of Electrical and Computer Engineering 14 (Ağustos). https://doi.org/10.17694/bajece.1824248.
EndNote
Erkan E (01 Ağustos 2026) RSSI-Based LoRa Simulation Environment: An MLP Application for Position Estimation. Balkan Journal of Electrical and Computer Engineering 14
IEEE
[1]E. Erkan, “RSSI-Based LoRa Simulation Environment: An MLP Application for Position Estimation”, Balkan Journal of Electrical and Computer Engineering, c. 14, Ağu. 2026, doi: 10.17694/bajece.1824248.
ISNAD
Erkan, Emre. “RSSI-Based LoRa Simulation Environment: An MLP Application for Position Estimation”. Balkan Journal of Electrical and Computer Engineering 14 (01 Ağustos 2026). https://doi.org/10.17694/bajece.1824248.
JAMA
1.Erkan E. RSSI-Based LoRa Simulation Environment: An MLP Application for Position Estimation. Balkan Journal of Electrical and Computer Engineering. 2026;14. doi:10.17694/bajece.1824248.
MLA
Erkan, Emre. “RSSI-Based LoRa Simulation Environment: An MLP Application for Position Estimation”. Balkan Journal of Electrical and Computer Engineering, c. 14, Ağustos 2026, doi:10.17694/bajece.1824248.
Vancouver
1.Emre Erkan. RSSI-Based LoRa Simulation Environment: An MLP Application for Position Estimation. Balkan Journal of Electrical and Computer Engineering. 01 Ağustos 2026;14. doi:10.17694/bajece.1824248

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