Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems
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 availabi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2013-10-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2220-9964/2/4/978 |
| _version_ | 1811320989232922624 |
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| author | Claudio Gallicchio Stefano Chessa Alessio Micheli Paolo Barsocchi |
| author_facet | Claudio Gallicchio Stefano Chessa Alessio Micheli Paolo Barsocchi |
| author_sort | Claudio Gallicchio |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T13:09:10Z |
| format | Article |
| id | doaj.art-fdd99067f3c840678d780804d0501b21 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-04-13T13:09:10Z |
| publishDate | 2013-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-fdd99067f3c840678d780804d0501b212022-12-22T02:45:40ZengMDPI AGISPRS International Journal of Geo-Information2220-99642013-10-012497899510.3390/ijgi2040978Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization SystemsClaudio GallicchioStefano ChessaAlessio MicheliPaolo BarsocchiReal-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.http://www.mdpi.com/2220-9964/2/4/978ambient assisted livinglocalization systemsreceived signal strengthmovement forecastingecho state networkswireless sensor networks |
| spellingShingle | Claudio Gallicchio Stefano Chessa Alessio Micheli Paolo Barsocchi Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems ISPRS International Journal of Geo-Information ambient assisted living localization systems received signal strength movement forecasting echo state networks wireless sensor networks |
| title | Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems |
| title_full | Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems |
| title_fullStr | Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems |
| title_full_unstemmed | Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems |
| title_short | Forecast-Driven Enhancement of Received Signal Strength (RSS)-Based Localization Systems |
| title_sort | forecast driven enhancement of received signal strength rss based localization systems |
| topic | ambient assisted living localization systems received signal strength movement forecasting echo state networks wireless sensor networks |
| url | http://www.mdpi.com/2220-9964/2/4/978 |
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