LANDMARC with Improved k-Nearest Algorithm for RFID Location System

The RFID (Radio Frequency Identification) localization technology has become one of the most developed technologies owing to its low cost, full-fledged application and flexible deployment. However, current RFID localization system cannot achieve the task of precise and highly accurate object localization due to the limitations of localization algorithm. Traditionally, the localization algorithm cannot make the localization more accuracy. The demand to improve the localization precision is still growing dramatically. LANDMARC system is a typical case that uses virtual tag to improve the overall accuracy of locating moving objects. However, this overall accuracy is fluctuates due to the multipath effect and the various indoor environment. This research work attempts to improve localization precision by using the sensing information network coordination and the log-distance path loss model. From the results, this approach can deliver a localization precision.