Fault detection and mitigation in WLAN RSS fingerprint-based positioning
The provision of reliable location estimates in case of unpredicted failures or malicious attacks, which inject faults and compromise the performance of the positioning system, is very important. Thus, our main interest is on the fault tolerance of WLAN fingerprint-based methods, rather than the abs...
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| creator | Laoudias, C. Michaelides, M. P. Panayiotou, C. G. |
| description | The provision of reliable location estimates in case of unpredicted failures or malicious attacks, which inject faults and compromise the performance of the positioning system, is very important. Thus, our main interest is on the fault tolerance of WLAN fingerprint-based methods, rather than the absolute positioning error in the fault-free case. We study the Nearest Neighbor method and as a first step we develop a robust detection scheme to accurately detect faults. We incorporate this into a hybrid positioning method that switches to a modified distance metric, instead of the Euclidean, if faults are present. Experimental results indicate that the proposed approach exhibits higher resilience to faults compared to other positioning methods. |
| doi_str_mv | 10.1109/IPIN.2011.6071926 |
| format | Conference Proceeding |
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Experimental results indicate that the proposed approach exhibits higher resilience to faults compared to other positioning methods.</description><subject>Accuracy</subject><subject>Fault detection</subject><subject>Fault tolerance</subject><subject>Fault tolerant systems</subject><subject>Measurement</subject><subject>Positioning methods</subject><subject>Signal strength fingerprints</subject><subject>Wireless LAN</subject><subject>Wireless networks</subject><subject>Wireless sensor networks</subject><isbn>1457718057</isbn><isbn>9781457718052</isbn><isbn>9781457718038</isbn><isbn>1457718030</isbn><isbn>9781457718045</isbn><isbn>1457718049</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1T81KAzEYjIig1n0A8ZIX2DVfssmXHEuxdqFUsYrHks1PibTbshsPvr2r1rkMwwzDDCG3wCoAZu6b52ZVcQZQKYZguDojhUENtUQEzYQ-J9f_QuIlKYbhg41QynDOrshibj93mfqQg8vp0FHbebpPOW3tr0wdfV9OV_RlvaYxddvQH_vU5bK1Q_D0eBjST2w0bshFtLshFCeekLf5w-tsUS6fHpvZdFkmQJlLLz22okXGIo9O1xKk5VFrjBp1rawCIQW61llpQu0CgIxGsNoxI8D4KCbk7q83hRA245i97b82p_PiG0NMTLY</recordid><startdate>201109</startdate><enddate>201109</enddate><creator>Laoudias, C.</creator><creator>Michaelides, M. 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G.</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 Electronic Library (IEL)</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>Laoudias, C.</au><au>Michaelides, M. P.</au><au>Panayiotou, C. 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We study the Nearest Neighbor method and as a first step we develop a robust detection scheme to accurately detect faults. We incorporate this into a hybrid positioning method that switches to a modified distance metric, instead of the Euclidean, if faults are present. Experimental results indicate that the proposed approach exhibits higher resilience to faults compared to other positioning methods.</abstract><pub>IEEE</pub><doi>10.1109/IPIN.2011.6071926</doi><tpages>7</tpages></addata></record> |
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| identifier | ISBN: 1457718057 |
| ispartof | 2011 International Conference on Indoor Positioning and Indoor Navigation, 2011, p.1-7 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Accuracy Fault detection Fault tolerance Fault tolerant systems Measurement Positioning methods Signal strength fingerprints Wireless LAN Wireless networks Wireless sensor networks |
| title | Fault detection and mitigation in WLAN RSS fingerprint-based positioning |
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