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Published January 1, 2018 | Version v1
Conference paper Open

Accurate Indoor Localization for ZigBee Networks

Creators

  • 1. Akdeniz Univ, Dept Comp Engn, Antalya, Turkey
  • 2. Akdeniz Univ, Elect Elect Engn Dept, Antalya, Turkey
  • 3. Antalya Bilim Univ, Dept Comp Engn, Antalya, Turkey

Description

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.

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