Pamukkale Univ Muh Bilim Derg. Baskýdaki Makaleler: PAJES-48079 | DOI: 10.5505/pajes.2024.48079

Beacon Mesafe Deðerlerinin Ortam Koþullarýna Göre Polinom Enterpolasyonu ve Yapay Sinir Aðlarýyla Belirlenmesi

Recep Çakýr¹, Serkan Doganalp^2
1Pamukkale Üniversitesi, Çameli Meslek Yüksekokulu, Mimarlýk ve Þehir Planlama Bölümü, Tapu ve Kadastro Programý
²Konya Teknik Üniversitesi, Mühendislik ve Doða Bilimleri Fakültesi, Harita Mühendisliði Bölümü, Jeodezi Ana Bilim Dalý

Bluetooth alt yapýsýna sahip olan, tek bir tuþla açýlýp kapatýlabilen, küçük boyutlu ve taþýnabilen, düþük enerji ile uzun süreler çalýþabilen Beacon cihazlarý son yýllarda oldukça popüler hale geldi. Tanýtým ve konum bazlý projeler baþta olmak üzere birçok alanda kullanýlmaktadýr. Özellikle Beacon’lar tarafýndan gönderilen Bluetooth sinyallerinin gücündeki deðiþimden yararlanýlarak Beacon cihazý ile kullanýcý arasýndaki mesafe belirlenebilmektedir. Bu mesafe bilgisi ise konumlandýrma algoritmalarýnda temel parametre olarak kullanýlmaktadýr. Beacon üreticisi firmalar tarafýndan, standart ortam koþullarý ile elde edilen veriler kullanýlarak Beacon ile kullanýcý arasýndaki mesafe otomatik olarak kullanýcýlara sunulmaktadýr. Kullanýcý bu mesafeyi ortam koþullarýna göre kendi oluþturduðu verileri kullanarak da hesaplayabilmektedir. Bu çalýþmada kapalý bir alanda Beacon’lardan gelen Bluetooth sinyalleri kaydedilerek ortam koþullarýna göre Beacon ile kullanýcý arasýndaki mesafe polinom enterpolasyonu ve yapay sinir aðlarý yöntemleriyle hesaplandý. Elde edilen sonuçlar, Beacon’lar tarafýndan kullanýcýya otomatik olarak sunulan mesafe bilgisi ile karþýlaþtýrýldý. Çalýþmada en iyi sonucu, Beacon’lardan otomatik olarak alýnan mesafe bilgisinden 1.21m daha iyi sonuç veren 10. dereceden polinom enterpolasyonu saðladý.

Anahtar Kelimeler: Beacon, Bluetooth, Yapay Sinir Aðlarý, Polinom Enterpolasyonu

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Determination of Beacon Distance Values According to Ambient Conditions by Polynomial Interpolation and Artificial Neural Networks

Recep Çakýr¹, Serkan Doganalp^2
1Pamukkale University, Çameli Vocational School,Department of Architecture and Urban Planning,Land Registry and Cadastre Program
²Konya Technical University, Faculty of Engineering and Natural Sciences, Geomatics Engineering, Geodesy Department

Beacon devices, which have Bluetooth infrastructure, can be turned on and off with a single button, are small and portable, and can operate for long periods of time with low energy, have become very popular in reCcent years. It is used in many areas, especially in promotion and location-based projects. In particular, the distance between the Beacon device and the user can be determined by utilizing the change in the strength of the Bluetooth signals sent by the Beacons. This distance information is used as a basic parameter in positioning algorithms. The distance between the Beacon and the user is automatically presented to the users by using the data obtained by the Beacon manufacturers with standard ambient conditions. The user can also calculate this distance by using the data created by the user according to the ambient conditions. In this study, Bluetooth signals from Beacons in an indoor environment were recorded and the distance between the Beacon and the user was calculated by polynomial interpolation and artificial neural network methods. The results obtained were compared with the distance information automatically presented to the user by the Beacons. The best result was achieved by 10th order polynomial interpolation, which was 1.21m better than the distance information automatically received from the Beacons.

Keywords: Beacon, Bluetooth, Artificial Neural Networks, Polynomial Interpolation

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ATIF KOPYALA