An improved fingerprinting method for localization WLAN-based

Many location-based services require location awareness, but it is often too expensive to include a GPS receiver in every network node. Hence, localization schemes using radio signal strength is more attractive when high precision isn't in demand. Fingerprinting is an effective method, but it is inaccurate when accidental gross error is included in the measurement. In this paper, we exploit an improved fingerprinting technique to overcome the accidental gross error caused by mobile person or other interference sources. By setting a threshold of signal distance, these accidental errors can be eliminated. Experimental results indicate that the improved method can locate a client with an average accuracy of 1–2m. What's more, it is more robust than basic fingerprinting.