Improving RFID's Location Based Services by means of Hidden Markov Models

Authors:
Teresa Garcia-Valverde;Alberto Garcia-Sola;Juan A. Botia
Affiliations:
University of Murcia, Spain, email: {mtgarcia, agarciasola, juanbot}@um.es;University of Murcia, Spain, email: {mtgarcia, agarciasola, juanbot}@um.es;University of Murcia, Spain, email: {mtgarcia, agarciasola, juanbot}@um.es
Venue:
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Year:
2010

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Abstract

Services in Ambient Intelligence systems must adapt to context information and users. So, the development of these services become in a complex task. In this context, we present AmISim: a methodology for the engineering of AmI services. Using AmISim, a LBS based on RFID technology is built. Engineering the service is based on Hidden Markov Models (HMMs) for locations within an intelligent building. The results show that the resolution of a RFID based LBS can be significantly improved and allows by means of the simulator optimally configure the number and location of RFID antennas.