Efficient indoor localization and error correction algorithm
Recently, paradigm of system integration changes into distributed computing environment. Advances in the network and hardware accumulation technology have enabled the development of micro-sensors which can manage wireless communication. Therefore, indoor localization services using wireless signal a...
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creator | Yong-Ki Ku Choon-Sung Nam Dong-Ryeol Shin |
description | Recently, paradigm of system integration changes into distributed computing environment. Advances in the network and hardware accumulation technology have enabled the development of micro-sensors which can manage wireless communication. Therefore, indoor localization services using wireless signal are social issues. Wireless signal is affected by signal distortion, reflection, channel fading, and path loss. Therefore, we propose effective error correction method to obtain accurate distance information. In this paper, the presented approach progressed in two phases: the first phase offers to problems of existing localization method and the Kalman-filter algorithm. The second phase offers to problems of the coverage and power consumption of sensor nodes in indoor. Finally, we propose the effective localization and error correction algorithm. |
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Advances in the network and hardware accumulation technology have enabled the development of micro-sensors which can manage wireless communication. Therefore, indoor localization services using wireless signal are social issues. Wireless signal is affected by signal distortion, reflection, channel fading, and path loss. Therefore, we propose effective error correction method to obtain accurate distance information. In this paper, the presented approach progressed in two phases: the first phase offers to problems of existing localization method and the Kalman-filter algorithm. The second phase offers to problems of the coverage and power consumption of sensor nodes in indoor. 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Advances in the network and hardware accumulation technology have enabled the development of micro-sensors which can manage wireless communication. Therefore, indoor localization services using wireless signal are social issues. Wireless signal is affected by signal distortion, reflection, channel fading, and path loss. Therefore, we propose effective error correction method to obtain accurate distance information. In this paper, the presented approach progressed in two phases: the first phase offers to problems of existing localization method and the Kalman-filter algorithm. The second phase offers to problems of the coverage and power consumption of sensor nodes in indoor. Finally, we propose the effective localization and error correction algorithm.</description><subject>Computer network management</subject><subject>Distortion</subject><subject>Distributed computing</subject><subject>Energy consumption</subject><subject>Error correction</subject><subject>Error correction algorithm</subject><subject>Fading</subject><subject>Hardware</subject><subject>Indoor localization</subject><subject>Kalman-filter</subject><subject>Reflection</subject><subject>Technology management</subject><subject>Wireless communication</subject><issn>1738-9445</issn><isbn>1424454271</isbn><isbn>9781424454273</isbn><isbn>9788955191462</isbn><isbn>9781424454280</isbn><isbn>142445428X</isbn><isbn>8955191464</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj81Kw0AUhUdUsK15Ajd5gcCdn5uZC26kVC0U3Nh1mV8dSTMyyUaf3kDdnI_zLQ6cK9aQNoYQOXHVi2u25koohUpofsNWXEvT0dLvWDNNXwAggQMIuWKPu5Syz3Gc2zyGUmo7FG-H_GvnXMbWjqGNtS7al1qjv8jho9Q8f57v2W2ywxSbf27Y8Xn3vn3tDm8v--3Toctc49yJmFAROokEJCHqQNAb33vgPSZlozCh1w4RDGonE9ISnqwP3JGzUm7Yw2U3xxhP3zWfbf05oVKwvJR_Hq5F1Q</recordid><startdate>201002</startdate><enddate>201002</enddate><creator>Yong-Ki Ku</creator><creator>Choon-Sung Nam</creator><creator>Dong-Ryeol Shin</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201002</creationdate><title>Efficient indoor localization and error correction algorithm</title><author>Yong-Ki Ku ; Choon-Sung Nam ; Dong-Ryeol Shin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-2ef5495b3590930e7d9068c6c0165f4ae28d67b550857b3f59b3fc9acd1b9ba33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Computer network management</topic><topic>Distortion</topic><topic>Distributed computing</topic><topic>Energy consumption</topic><topic>Error correction</topic><topic>Error correction algorithm</topic><topic>Fading</topic><topic>Hardware</topic><topic>Indoor localization</topic><topic>Kalman-filter</topic><topic>Reflection</topic><topic>Technology management</topic><topic>Wireless communication</topic><toplevel>online_resources</toplevel><creatorcontrib>Yong-Ki Ku</creatorcontrib><creatorcontrib>Choon-Sung Nam</creatorcontrib><creatorcontrib>Dong-Ryeol Shin</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>Yong-Ki Ku</au><au>Choon-Sung Nam</au><au>Dong-Ryeol Shin</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Efficient indoor localization and error correction algorithm</atitle><btitle>2010 The 12th International Conference on Advanced Communication Technology (ICACT)</btitle><stitle>ICACT</stitle><date>2010-02</date><risdate>2010</risdate><volume>1</volume><spage>453</spage><epage>457</epage><pages>453-457</pages><issn>1738-9445</issn><isbn>1424454271</isbn><isbn>9781424454273</isbn><eisbn>9788955191462</eisbn><eisbn>9781424454280</eisbn><eisbn>142445428X</eisbn><eisbn>8955191464</eisbn><abstract>Recently, paradigm of system integration changes into distributed computing environment. Advances in the network and hardware accumulation technology have enabled the development of micro-sensors which can manage wireless communication. Therefore, indoor localization services using wireless signal are social issues. Wireless signal is affected by signal distortion, reflection, channel fading, and path loss. Therefore, we propose effective error correction method to obtain accurate distance information. In this paper, the presented approach progressed in two phases: the first phase offers to problems of existing localization method and the Kalman-filter algorithm. The second phase offers to problems of the coverage and power consumption of sensor nodes in indoor. Finally, we propose the effective localization and error correction algorithm.</abstract><pub>IEEE</pub><tpages>5</tpages></addata></record> |
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ispartof | 2010 The 12th International Conference on Advanced Communication Technology (ICACT), 2010, Vol.1, p.453-457 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Computer network management Distortion Distributed computing Energy consumption Error correction Error correction algorithm Fading Hardware Indoor localization Kalman-filter Reflection Technology management Wireless communication |
title | Efficient indoor localization and error correction algorithm |
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