Abstract
In this paper we present the comparison of two localization systems where the Received Signal Strength (RSS) is measured to compute the position of a mobile node. We have implemented two approaches based on channel modelling and fingerprinting respectively. Our conclusions are supported by experimental results carried out in an indoor environment where a sensor network was deployed. The results show that in the environment of our experiments the precision of the fingerprinting method is better than the precision of the one based on channel modelling.
This work has been financed by the Government of Madrid under grant S-0505/TIC-0255 (MADRINET) and by the Spanish Ministry of Education and Science under grant TSI2005-07344 (COLOCAME).
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Martín, H., Tarrío, P., Bernardos, A.M., Casar, J.R. (2009). Experimental Evaluation of Channel Modelling and Fingerprinting Localization Techniques for Sensor Networks. 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_88
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DOI: https://doi.org/10.1007/978-3-540-85863-8_88
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