Recently, location-based services (LBS) have steered attention to indoor
positioning systems (IPS). WLAN-based IPSs relying on received signal strength
(RSS) measurements such as fingerprinting are gaining popularity due to proven
high accuracy of their results. Typically, sets of RSS measurements at selected
locations from several WLAN access points (APs) are used to calibrate the
system. Retrieval of such measurements from WLAN cards are commonly at one-Hz
rate. Such measurement collection is needed for offline radio-map surveying
stage which aligns fingerprints to locations, and for online navigation stage,
when collected measurements are associated with the radio-map for user
navigation. As WLAN network is not originally designed for positioning, an RSS
measurement miss could have a high impact on the fingerprinting system.
Additionally, measurement fluctuations require laborious signal processing, and
surveying process can be very time consuming. This paper proposes a fast-rate
measurement collection method that addresses previously mentioned problems by
achieving a higher probability of RSS measurement collection during a given
one-second window. This translates to more data for statistical processing and
faster surveying. The fast-rate collection approach is analyzed against the
conventional measurement rate in a proposed testing methodology that mimics
real-life scenarios related to IPS surveying and online navigation