ISPRS Int. J. Geo-Inf. 2013, 2(4), 978-995; doi:10.3390/ijgi2040978

Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems

1,* email, 1,2email, 2email and 2email
Received: 12 July 2013; in revised form: 17 September 2013 / Accepted: 22 September 2013 / Published: 16 October 2013
(This article belongs to the Special Issue Indoor Positioning and Indoor Navigation)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.

AMA Style

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.

Chicago/Turabian Style

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.

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