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SBIL: Scalable Indoor Localization and Navigation Service

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84241

Subramanian,  SP
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Subramanian, S., Sommer J, Schmitt, S., & Rosenstiel, W. (2007). SBIL: Scalable Indoor Localization and Navigation Service. Proceedings of the Third International Conference on Wireless Communication and Sensor Networks (WCSN 2007), 27-30.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-CAF5-B
Zusammenfassung
Several approaches have been proposed for localization and navigation based on WLAN, ZigBee, RFID and UWB over a decade. However, these systems are either expensive or lack accuracy and not all technologies are available in smartphones. Here we describe a Scalable Indoor location based service (SBI) a cost-effective solution based on Bluetooth. Using an appropriate filtering algorithm, we explored the possibility of determining users location based on signal strength. We also constructed a scalable connectionless service by geographic routing and roaming schemes. The whole experimental design thus guarantees a cost effective better navigation system.