In-building Location Sensing Based on WLAN Signal Strength
نویسندگان
چکیده
Exploiting context-aware environments, where sensors scattered in a environment update presence servers to indicate the environmental changes can be used to enable new services. Such systems have become feasible both in terms of technical difficulties and their cost. A current focus in this area of research is how a context-aware system should be designed so that it reduces both the cost and complexity of the infrastructure, but still provides the desired services. One of the key components of many context-aware systems is location sensing, because a user’s location is one of the most used elements of information in context-aware services. In this paper, we address cost effective location services by utilizing measurements of WLAN signal strength. We derive from these measurements an estimate of a device’s location, and make this location information available via a SIP Presence User Agent, thus making location information readily available to services that might wish to use this information while hiding details of how this information is acquired from these services.
منابع مشابه
Semi-supervised Learning for WLAN Positioning
Currently the most accurate WLAN positioning systems are based on the fingerprinting approach, where a “radio map” is constructed by modeling how the signal strength measurements vary according to the location. However, collecting a sufficient amount of location-tagged training data is a rather tedious and time consuming task, especially in indoor scenarios — the main application area of WLAN p...
متن کاملImproving positioning capabilities for indoor environments with WiFi
A framework for positioning and tracking problems in indoor environments using particle filters has been developed and applied to a WLAN location determination technique. The use of Kalman filter or particle filtering represents an interesting way to handle the variations of the signal strength measurements. The second one, being more generic, can also aggregate in a simple way different inform...
متن کاملMultiple Subcarrier Indoor Geolocation System in MIMO-OFDM WLAN APs Structure
This report aims to utilize existing and future Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing Wireless Local Area Network (MIMO-OFDM WLAN) systems characteristics—such as multiple subcarriers, multiple antennas, and channel estimation characteristics—for indoor location estimation systems based on the Direction of Arrival (DOA) and Radio Signal Strength Indication (R...
متن کاملIndoor Positioning with a WLAN Access Point List on a Mobile Device
This paper presents indoor positioning results based on the 802.11 WiFi system (WLAN). It uses the existing infrastructure of buildings and the available technologies in personal mobile devices to calculate an indoor position consisting of floor and building section. A list of known WLAN access points and their location is the only requirement of this simple positioning algorithm. This approach...
متن کاملA low power framework for WLAN indoor positioning system
One of the most significant elements of context-awareness in ubiquitous environments is mobile device localization. To obtain the accurate location information for indoor environments is a challenging problem. There have been a number of attempts to design systems for indoor localization using different wireless sensing techniques. Signal strength (SS) approaches are easy to implement in the ex...
متن کامل