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In Radio Frequency IDentification (RFID) systems, location information is of great importance to provide location-aware services combined with identification. Conventional RFID systems can only provide coarse localization information. In this paper, the authors propose a novel approach named MDS-RFID to locate active RFID tags based on Multi-Dimensional Scaling (MDS), an efficient data analysis technique. The approach has the advantage of fully utilizing the distance information in the network simultaneously, and thus can achieve better localization results than previous multi-lateration-based methods. The MDSRFID algorithm first infers the tag-to-reader distances from the Received Signal Strength (RSS). To obtain the distance matrix, the inter-tag distances are estimated using a triangular method.
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