| Conference |
| Type of Publication |
| On-Demand Fingerprint Selection for 802.11-based
Positioning Systems |
| Title |
|
|
| Authors |
| Proc. of the 9th IEEE International Symposium on a
World of Wireless, Mobile and Multimedia Networks (WoWMoM
2008), Newport Beach, CA, USA, June 2008 |
| Published in |
| Fingerprinting is a popular technology for
802.11-based positioning systems: Radio characteristics from
different access points are measured at various positions and
stored in a database. The database is copied to all mobile
devices, and in case that a position estimate is needed, the
device compares its currently measured radio characteristics with
all the database entries. In this paper, we present two on-demand
fingerprint selection algorithms to avoid the cumbersome and
time-consuming approach of manually copying all fingerprints. Our
algorithms only request those fingerprints from the database that
are currently required to compute a position. The two algorithms
differ in the way they shape the region for which fingerprints
are requested. On-demand selection also allows storage-restricted
mobile devices to utilize the positioning system. We carefully
evaluate our algorithms in a real-world experiment. The results
show that our algorithms do not harm the position accuracy of the
positioning system. In addition, we analyze the space
requirements of our algorithms and show that the typical
constraints of mobile devices are met. |
| Abstract |
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