7. Conclusion

IPS incorporates the power of GPS and indoor mapping and has many potential applications, for example, by emergency healthcare services, by people with impaired vision, and for navigating unfamiliar complex buildings where it is easy to get disoriented or lost (e.g., malls, airports, subways). A fingerprint map was created for a segment of the CEAS in order to utilize the relationship between different RSS readings. Different algorithms were used and compared using different approaches, including kNN and PNN, and their performances assessed for a number of APs. The results were quite adequate for the indoor environment with an average error of less than 1 m. The kJBD had the highest accuracy when there were 80 nearest neighbors with 22 APs. We are currently in the process of investigating position prediction error distributions and quantifying the localization variation of Wi-Fi signal distribution in space
