Abstract
Context-aware computing is an emerging computing paradigm that can provide new or improved services by exploiting user context information. In this paper, we present a wireless-local-area-network-based (WLAN-based) indoor positioning technology. The wireless device deploys a position-determination model to gather location information from collected WLAN signals. A model-based signal distribution training scheme is proposed to trade off the accuracy of signal distribution and training workload. A tracking-assistant positioning algorithm is presented to employ knowledge of the area topology to assist the procedure of position determination. We have set up a positioning system at the IBM China Research Laboratory. Our experimental results indicate an accuracy of 2 m with a 90% probability for static devices and, for moving (walking) devices, an accuracy of 5 m with a 90% probability. Moreover, the complexity of the training procedure is greatly reduced compared with other positioning algorithms.
Original language | English (US) |
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Pages (from-to) | 617-626 |
Number of pages | 10 |
Journal | IBM Journal of Research and Development |
Volume | 48 |
Issue number | 5-6 |
DOIs | |
State | Published - 2004 |
Externally published | Yes |
ASJC Scopus subject areas
- Computer Science(all)