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A common problem for indoor positioning methods is the fact that the differences in the reception characteristics among devices may significantly deteriorate the performance of a positioning system. Ranging algorithms for positioning rely on the accuracy of the parameters of the propagation model. This model is used to infer an estimate of the distance of a mobile device from each access point from...
For large-scale wireless networks, the deployment of new systems can be a costly and tedious task. In this article we show how this effort can be reduced by automating the configuration of new wireless devices, based on their location. This technique is useful in e.g. home automation systems where a light switch needs to be paired with the light fixtures. To show how our system works, we have implemented...
In this paper we describe a system for indoor navigation in complex public or commercial facilities such as airports, train stations, clinics, museums, fairgrounds or conference centers. The concept of this approach is strongly focused on application in geographically distributed facilities containing multiple indoor areas, situated at various levels that are connected by stairs, escalator or elevators...
In this paper we present our work on the indoor positioning of users (shoppers), using a network of Bluetooth Low Energy (BLE) beacons deployed in a large wholesale shopping store. Our objective is to accurately determine which product sections a user is adjacent to while traversing the store, using RSSI readings from multiple beacons, measured asynchronously on a standard commercial mobile device...
Indoor location tracking based on wireless sensors such as Wi-Fi and Bluetooth has recently received increased public attention in the context of location-based services (e.g. location-based advertising) and indoor navigation. However, until now, no clear best practices for filters, algorithms and sensor fusion have emerged, and, in fact, different use cases may require different sets of techniques...
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