Abstract
In this paper, a localization system of mobile nodes in a ZigBee Home Automation (ZHA) network has been developed. We used the ZigBee wireless protocol for networking due to its low cost, low power consumption, and acceptable data rate for most of smart home control systems, compared to other existing alternatives like Wi-Fi, Bluetooth or ZWave. Between the numerous localization techniques, we used the Received Signal Strength Indicator (RSSI), which can be obtained without the inclusion of additional hardware to the ZigBee nodes. Our system was implemented with three different Artificial Neural Networks (ANN), which results are compared and analysed; with a series of data treatments to avoid communications errors between the nodes and RSSI values fluctuations.
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Acknowledgments
This work has been supported by the Spanish Ministry of Economy and Competitiveness, under project Memory Lane (TIN2013-45312-R).
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Rillo, H., Marco, Á., Blasco, R., Casas, R. (2016). ZigBee Home Automation Localization System. In: García, C., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds) Ubiquitous Computing and Ambient Intelligence. IWAAL AmIHEALTH UCAmI 2016 2016 2016. Lecture Notes in Computer Science(), vol 10070. Springer, Cham. https://doi.org/10.1007/978-3-319-48799-1_16
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DOI: https://doi.org/10.1007/978-3-319-48799-1_16
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