Accurate Indoor Localization for ZigBee Networks

ULUŞAR Ü. D., ÇELİK G., TÜRK E., Al-Turjman F., GÜVENÇ H.

3rd International Conference on Computer Science and Engineering (UBMK), Sarajevo, Bosna-Hersek, 20 - 23 Eylül 2018, ss.514-517 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/ubmk.2018.8566532
  • Basıldığı Şehir: Sarajevo
  • Basıldığı Ülke: Bosna-Hersek
  • Sayfa Sayıları: ss.514-517
  • Anahtar Kelimeler: Internet of things, indoor positioning, indoor tracking, wireless sensor networks
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Localization has critical role for location-based services in wireless sensor networks (%VSIN). Various techniques have been proposed but accurate indoor localization is still an active research area. In this paper, we performed experimental studies on data collection and compared position prediction techniques for indoor environments. Findings of this study indicate that time of arrival based prediction gives better results than receiver signal strength indicator (RSSI) based prediction.