Abstract
The proliferation of mobile computing devices and local-area wireless networks has fostered a growing interest in location-aware systems and services. Additionally, the ability to let a mobile device determine its location in an indoor environment at a fine-grained level supports the creation of a new range of mobile control system applications. Main area of interest is in model of radio-frequency (RF) based system enhancement for locating and tracking users of control system inside buildings. The locating and tracking of users is useful for rescue people to find closer way in unknown building. The software can navigate these people through the unknown space to accident place. The experimental framework prototype uses a WiFi network infrastructure to let a mobile device determine its indoor position as well as to deliver IP connectivity. Experiments show that location determination can be realized with a room level granularity.
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© 2006 International Federation for Information Processing
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Krejcar, O. (2006). User Localization for Intelligent Crisis Management. In: Maglogiannis, I., Karpouzis, K., Bramer, M. (eds) Artificial Intelligence Applications and Innovations. AIAI 2006. IFIP International Federation for Information Processing, vol 204. Springer, Boston, MA . https://doi.org/10.1007/0-387-34224-9_26
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DOI: https://doi.org/10.1007/0-387-34224-9_26
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-34223-8
Online ISBN: 978-0-387-34224-5
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