Investigating the Performance of Pure Lateration in Indoor Environments Based On Varying Number of Access Points and Iterations

Gunumuzde, kullanicilarin ve aygitlarin ic mekanlarda konumlarinin belirlenmesi gelecek vaat eden bir arastirma konusudur. Ic mekanlar icin kullanicilarin konumlarinin dogru olarak belirlenmesi halk guvenligi, super marketler, saglik hizmetleri uygulamalari, seyahat, sosyal aglar ve turizm gibi bircok uygulamada kullanilmaktadir. Fakat, dis mekanlar icin tasarlanmis kuresel konumlandirma sistemleri ic mekan konumlandirma sistemleri icin kullanilamaz cunku ic mekan konumlandirmasi icin hedefin kesin pozisyonunun kestirilmesi bir problemdir. Ic mekanlar icin, lateration, fingerprinting dead reckoning gibi cesitli konumlandirma algoritmalari bulunmaktadir. Lateration mevcut algoritmalarla karsilastirildiginda dusuk fiyatli ve kolay uygulanabilirdir. Bu yuzden, bu calismada, MATLAB dan uretilmis sentetik veri kullanan alinan sinyal gucu easli saf lateration onerilmektedir. Lateration’nin performansi degisen erisim noktasi sayisinin etkisi, degisken Gauss gurultusu ve iterasyona bagli degisim gibi cesitli performans metrikleri acisindan incelenmistir. Saf lateration’ nin benzetimleri MATLAB’ da yapilmistir. Performans metriklerinin etkisi detayli bir sekilde incelenmis ve tartisilmistir. Sonuclara gore, alandaki erisim noktalarinin sayisi arttiginda, Lateration’nin dogruluk performansi artmaktadir fakat bu bazi donanim maliyetleri getirecektir. Beklendigi gibi, alandaki Gauss gurultusu arttiginda, laterationin hata performansi kotulesmektedir. Bu calismanin esas amaci, lateration icin gercek zaman uygulamalarina bir cozum saglayacak optimum kosullarin elde edilmesidir. Gelecek calismalar olarak, bu calismanin gercek zaman uygulamalari gerceklestirilecektir ve dogruluk performansini arttirmak icin olculen degerlere egri uydurma fikrinin uygulanmasi amaclanmaktadir.

• Publication year

  2020

• Venue

  Unknown venue

• Publication date

  2020-08-15

• Fields of study

  Not labeled

• Identifiers
  DOI 10.31590/EJOSAT.779511
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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