Abstract
This paper faces the issue of changing the received signal strength (RSS) from an observed access point (AP). Such a change can reduce the Quality of Service (QoS) of a Wi-Fi-based Indoor Localisation System. We have proposed a dynamic system based on an estimator of RSS using the readings from other APs. Using an optimal threshold, the algorithm recognises an AP that has changed its characteristics. Next, the system rebuilds the localisation model excluding the changed AP to keep QoS. For the tests, we simulated a change in the analysed Wi-Fi network by replacing the measured RSS by an RSS obtained from the same AP model that lies in another place inside the same multi-floor building. The algorithm was evaluated in simulations of an isolated single-floor building, a single-floor building and a multi-floor building. The mean increase of the localisation error obtained by the system varies from 0.25 to 0.61 m after the RSS changes, whereas the error increase without using the system is between 1.21 and 1.98 m. The system can be applied to any service based on a Wi-Fi network for various kinds of changes like a reconfiguration of the network, a local malfunction or ageing of the infrastructure.
Highlights
Localisation services–including indoor ones–are becoming more and more common
The most popular indoor localisation system type is based on a vector of received signal strength (RSS) calculated for access points (APs) from internal Wi-Fi infrastructure
The detection of missing signals is critical for Quality of Service (QoS), we extend this idea to detect all significant changes in the observed signals
Summary
Localisation services–including indoor ones–are becoming more and more common. Because of the business application of indoor localisation systems, the issue of providing an accurate indoor position becomes critical and requires a specific level of accuracy from the localisation system. The most popular indoor localisation system type is based on a vector of received signal strength (RSS) calculated for access points (APs) from internal Wi-Fi infrastructure. The advantages of the system are low cost and accessibility, as the measurements can be performed on almost every mobile device with a Wi-Fi module. Very often, such a system is trained using fingerprinting. In the case of a localisation system based on fingerprinting there is one important additional factor: The QoS can drop if there are some changes in the characteristics of the RSS that were used to train the system
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