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Experiments on the RSSI as a Range Estimator for Indoor Localization
Indoor localization has been the subject of many studies and still remains a very difficult issue due to the presence of multiple paths, fading, shadowing and timely variations in the environment. This paper studies the use of the Received Signal Strength Indicator (RSSI) metric for range estimation...
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creator | Dieng, N. A. Chaudet, C. Charbit, M. Toutain, L. Ben Meriem, Tayeb |
description | Indoor localization has been the subject of many studies and still remains a very difficult issue due to the presence of multiple paths, fading, shadowing and timely variations in the environment. This paper studies the use of the Received Signal Strength Indicator (RSSI) metric for range estimation in a wireless sensor network. We perform experimental studies which show that, despite a moderate antenna directivity (confirmed by experience in an anechoic chamber), the signal attenuation depends on both of the anchor node and the target node antennas orientation. We also show that the log normal shadow model, often used to model indoor propagation, is not accurate enough to capture irregularities in an office environment. In a 4m×3m office with five anchor nodes and one target node, a confidence interval of about 1m is reached by a maximum likelihood-based localization, only slightly better than random localization. |
doi_str_mv | 10.1109/NTMS.2012.6208722 |
format | conference_proceeding |
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We also show that the log normal shadow model, often used to model indoor propagation, is not accurate enough to capture irregularities in an office environment. In a 4m×3m office with five anchor nodes and one target node, a confidence interval of about 1m is reached by a maximum likelihood-based localization, only slightly better than random localization.</description><subject>Accuracy</subject><subject>Antenna measurements</subject><subject>Antennas</subject><subject>Attenuation</subject><subject>Conferences</subject><subject>Maximum likelihood estimation</subject><subject>Wireless sensor networks</subject><issn>2157-4952</issn><isbn>9781467302289</isbn><isbn>1467302287</isbn><isbn>9781467302272</isbn><isbn>1467302295</isbn><isbn>9781467302296</isbn><isbn>1467302279</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVUM1Kw0AYXFHBUvMA4mVfIHH3298cpUYNRIWmnsvX9IuNtEnJ7kF9egP24mEYZg7DzDB2I0UmpcjvXlcvdQZCQmZBeAdwxpLceamtUwLAwfk_7fMLNgNpXKpzA1csCeFTCKGk9-DdjD0UX0cauwP1MfCh53FHfFnXJcfAkS-x_yBehNgdMA4jbyeU_XaYqBoa3Hc_GLuhv2aXLe4DJSees_fHYrV4Tqu3p3JxX6U7CTqmdktoN75ROSnbAkpyomkIrLFk0DpjNkKjUeC10kY4R5PXgm5wGkOtUnN2-5fbEdH6ONXG8Xt9-kH9AnJ-TTc</recordid><startdate>201205</startdate><enddate>201205</enddate><creator>Dieng, N. 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A.</creatorcontrib><creatorcontrib>Chaudet, C.</creatorcontrib><creatorcontrib>Charbit, M.</creatorcontrib><creatorcontrib>Toutain, L.</creatorcontrib><creatorcontrib>Ben Meriem, Tayeb</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore (Online service)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dieng, N. A.</au><au>Chaudet, C.</au><au>Charbit, M.</au><au>Toutain, L.</au><au>Ben Meriem, Tayeb</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Experiments on the RSSI as a Range Estimator for Indoor Localization</atitle><btitle>2012 5th International Conference on New Technologies, Mobility and Security (NTMS)</btitle><stitle>NTMS</stitle><date>2012-05</date><risdate>2012</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>2157-4952</issn><isbn>9781467302289</isbn><isbn>1467302287</isbn><eisbn>9781467302272</eisbn><eisbn>1467302295</eisbn><eisbn>9781467302296</eisbn><eisbn>1467302279</eisbn><abstract>Indoor localization has been the subject of many studies and still remains a very difficult issue due to the presence of multiple paths, fading, shadowing and timely variations in the environment. This paper studies the use of the Received Signal Strength Indicator (RSSI) metric for range estimation in a wireless sensor network. We perform experimental studies which show that, despite a moderate antenna directivity (confirmed by experience in an anechoic chamber), the signal attenuation depends on both of the anchor node and the target node antennas orientation. We also show that the log normal shadow model, often used to model indoor propagation, is not accurate enough to capture irregularities in an office environment. In a 4m×3m office with five anchor nodes and one target node, a confidence interval of about 1m is reached by a maximum likelihood-based localization, only slightly better than random localization.</abstract><pub>IEEE</pub><doi>10.1109/NTMS.2012.6208722</doi><tpages>5</tpages></addata></record> |
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issn | 2157-4952 |
language | eng |
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source | IEEE Xplore All Conference Series |
subjects | Accuracy Antenna measurements Antennas Attenuation Conferences Maximum likelihood estimation Wireless sensor networks |
title | Experiments on the RSSI as a Range Estimator for Indoor Localization |
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