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Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems
ISTI-CNR, Pisa Research Area, Via G.Moruzzi 1, Pisa 56124, Italy
Department of Computer Science, University of Pisa, Largo B. Pontecorvo 3, Pisa 56127, Italy
* Author to whom correspondence should be addressed.
Received: 12 July 2013; in revised form: 17 September 2013 / Accepted: 22 September 2013 / Published: 16 October 2013
Abstract: Real-time user localization in indoor environments is an important issue in ambient assisted living (AAL). In this context, localization based on received signal strength (RSS) has received considerable interest in the recent literature, due to its low cost and energy consumption and to its availability on all wireless communication hardware. On the other hand, the RSS-based localization is characterized by a greater error with respect to other technologies. Restricting the problem to localization of AAL users in indoor environments, we demonstrate that forecasting with a little user movement advance (for example, when the user is about to leave a room) provides significant benefits to the accuracy of RSS-based localization systems. Specifically, we exploit echo state networks (ESNs) fed with RSS measurements and trained to recognize patterns of user’s movements to feed back to the RSS-based localization system.
Keywords: ambient assisted living; localization systems; received signal strength; movement forecasting; echo state networks; wireless sensor networks
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MDPI and ACS Style
Barsocchi, P.; Chessa, S.; Micheli, A.; Gallicchio, C. Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems. ISPRS Int. J. Geo-Inf. 2013, 2, 978-995.
Barsocchi P, Chessa S, Micheli A, Gallicchio C. Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems. ISPRS International Journal of Geo-Information. 2013; 2(4):978-995.
Barsocchi, Paolo; Chessa, Stefano; Micheli, Alessio; Gallicchio, Claudio. 2013. "Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems." ISPRS Int. J. Geo-Inf. 2, no. 4: 978-995.