Abstract
This paper proposes a method for merging Bluetooth and WLAN technologies to face the problem of indoor positioning. The method consists in the construction of a fusion map based on calibrated WiFi RSS and simulated Bluetooth RSSI. On a recent work, we have presented a different approach for fusing both technologies. The performance of this method is tested experimentally and the comparison between the localization results obtained using both technologies and using only WiFi is presented.
This work has been financed by the Government of Madrid undergrant S-0505/TIC-0255 (MADRINET) and the Spanish Ministry of Education and Science under grant TSI2005-07344 (COLOCAME).
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Aparicio, S., Pérez, J., Tarrío, P., Bernardos, A.M., Casar, J.R. (2009). An Indoor Location Method Based on a Fusion Map Using Bluetooth and WLAN Technologies. In: Corchado, J.M., Rodríguez, S., Llinas, J., Molina, J.M. (eds) International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008). Advances in Soft Computing, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85863-8_83
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DOI: https://doi.org/10.1007/978-3-540-85863-8_83
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