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Making Location-Aware Computing Working Accurately in Smart Spaces

Making Location-Aware Computing Working Accurately in Smart Spaces
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Author(s): Teddy Mantoro (University of Technology Malaysia, Malaysia), Media Ayu (International Islamic University Malaysia, Malaysia) and Maarten Weyn (Artesis University College of Antwerpen, Belgium)
Copyright: 2011
Pages: 19
Source title: Handbook of Research on Mobility and Computing: Evolving Technologies and Ubiquitous Impacts
Source Author(s)/Editor(s): Maria Manuela Cruz-Cunha (Polytechnic Institute of Cavado and Ave, Portugal) and Fernando Moreira (Portucalense University, Portugal)
DOI: 10.4018/978-1-60960-042-6.ch035


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In smart environment, making a location-aware personal computing working accurately is a way of getting close to the pervasive computing vision. The best candidate to determine a user location in indoor environment is by using IEEE 802.11 (Wi-Fi) signals, since it is more and more widely available and installed on most mobile devices used by users. Unfortunately, the signal strength, signals quality and noise of Wi-Fi, in worst scenario, it fluctuates up to 33% because of the reflection, refraction, temperature, humidity, the dynamic environment, etc. We present our current development on a light-weight algorithm, which is easy, simple but robust in producing the determination of user location using WiFi signals. The algorithm is based on “multiple observers” on ?k-Nearest Neighbour. We extend our approach in the estimation indoor-user location by using combination of different technologies, i.e. WiFi, GPS, GSM and Accelerometer. The algorithm is based on opportunistic localization algorithm and fuse different sensor data in order to be able to use the data which is available at the user position and processable in a mobile device.

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