KAPALI ALAN KONUMLANDIRMA SİSTEMLERİ İÇİN DÜĞÜM PROTOTİPİ GELİŞTİRME

İsmail KIRBAŞ; Kadir ARSLAN

Makale detayları

KAPALI ALAN KONUMLANDIRMA SİSTEMLERİ İÇİN DÜĞÜM PROTOTİPİ GELİŞTİRME

Yazarlar:

İsmail KIRBAŞ | Kadir ARSLAN

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Veri işleme & bilgisayar bilimi

Dergi:

Journal of Engineering Sciences and Design 2020 Vol.8 Issue 2, pp.612-624

Belge Tipi:

Makale

Yayın Tarihi:

6/2020

Belge Dili:

Türkçe

Document ID (Org No.):

2000602333

Sıklık:

Üç Aylık

eISSN:

1308-6693

Özet:

 


Wireless communication systems are among the most used and rapidly developing technologies of today. With the advances in wireless systems and hardware materials, different physical data in an environment can be obtained by designing low cost, low energy consumption and easy to install wireless networks. Positioning systems used to detect the locations of objects use wireless technologies. Today, the use of positioning systems is increasing and becoming widespread. Firstly, GPS satellite systems that are used to determine the location in open areas were developed. This system is widely used in military and civilian applications worldwide. In open field positioning, satellite signals are generally used and position determination is performed over the arrival time of the signals. However, when it comes to closed areas, a different approach and solution should be developed. In our study, three separate equipment using Wi-Fi and Bluetooth signals were developed to determine the location in closed areas. Experiments using machine learning methods show that the equipment developed to determine the location in the indoor area can detect locations with an error in the range of 1-1.5m.

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Makale detayları

KAPALI ALAN KONUMLANDIRMA SİSTEMLERİ İÇİN DÜĞÜM PROTOTİPİ GELİŞTİRME

Yazarlar: İsmail KIRBAŞ | Kadir ARSLAN

Yayıncı: Süleyman Demirel University

Ana Başlıklar: Veri işleme & bilgisayar bilimi

Dergi: Journal of Engineering Sciences and Design 2020 Vol.8 Issue 2, pp.612-624

Belge Tipi: Makale

Yayın Tarihi: 6/2020

Belge Dili: Türkçe

Document ID (Org No.): 2000602333

Sıklık: Üç Aylık

eISSN: 1308-6693

Sayı

Yazarlar:

İsmail KIRBAŞ | Kadir ARSLAN

Yayıncı:

Süleyman Demirel University

Ana Başlıklar:

Veri işleme & bilgisayar bilimi

Dergi:

Journal of Engineering Sciences and Design 2020 Vol.8 Issue 2, pp.612-624

Belge Tipi:

Makale

Yayın Tarihi:

6/2020

Belge Dili:

Türkçe

Document ID (Org No.):

2000602333

Sıklık:

Üç Aylık

eISSN:

1308-6693