Title :
Environmental-Adaptive RSSI-Based Indoor Localization
Author :
Ahn, Hyo-Sung ; Yu, Wonpil
Author_Institution :
Dept. of Mechatron., Gwangju Inst. of Sci. & Technol. (GIST), Gwangju, South Korea
Abstract :
This paper addresses a novel method for localizing a stationary object in an indoor office environment. The proposed method utilizes the received-signal-strength index (RSSI) of radio signals radiating from fixed reference nodes and reference tags placed at known positions to generate a precise signal propagation model. Signal attenuation parameters are updated online according to environmental variation; thus, the proposed method has environmental-adaptation capabilities. Subsequent experiments were conducted to demonstrate the superiority of the proposed technique over a commercial location-based service (LBS) chipset.
Keywords :
indoor radio; radio direction-finding; RSSI-based indoor localization; environmental-adaptation capability; precise signal propagation model; received-signal-strength index; signal attenuation parameter; Indoor localization; location-based service (LBS); received-signal-strength index (RSSI); wireless sensor network;
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
DOI :
10.1109/TASE.2008.2009126