Node localization methods with improved accuracy for wireless sensor networks
Localization technique is required to obtain the unknown nodes position in wireless sensor networks. Linear Intersection and Centroid are two selected methods on estimating the unknown position from its corresponding anchors. The execution time of these methods is acceptable. However, the error of u...
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creator | Kristalina, P. Wirawan Hendrantoro, G. |
description | Localization technique is required to obtain the unknown nodes position in wireless sensor networks. Linear Intersection and Centroid are two selected methods on estimating the unknown position from its corresponding anchors. The execution time of these methods is acceptable. However, the error of unknown nodes position yields worst performance. We exploit likelihood estimator in refinement process of linear intersection method to obtain the sufficient error. Uncertainty impact on centroid method will be minimized by inserting the weighted factor on it. Our proposed method results in 50% reduction of average position error in grid deployment scheme, although larger execution time is needed. This paper provides an efficient method to solve the localization in small-scale deployment. |
doi_str_mv | 10.1109/TENCON.2011.6129162 |
format | Conference Proceeding |
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Linear Intersection and Centroid are two selected methods on estimating the unknown position from its corresponding anchors. The execution time of these methods is acceptable. However, the error of unknown nodes position yields worst performance. We exploit likelihood estimator in refinement process of linear intersection method to obtain the sufficient error. Uncertainty impact on centroid method will be minimized by inserting the weighted factor on it. Our proposed method results in 50% reduction of average position error in grid deployment scheme, although larger execution time is needed. 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Linear Intersection and Centroid are two selected methods on estimating the unknown position from its corresponding anchors. The execution time of these methods is acceptable. However, the error of unknown nodes position yields worst performance. We exploit likelihood estimator in refinement process of linear intersection method to obtain the sufficient error. Uncertainty impact on centroid method will be minimized by inserting the weighted factor on it. Our proposed method results in 50% reduction of average position error in grid deployment scheme, although larger execution time is needed. This paper provides an efficient method to solve the localization in small-scale deployment.</description><subject>Accuracy</subject><subject>Ad hoc networks</subject><subject>linear intersection</subject><subject>Maximum likelihood estimation</subject><subject>node localization</subject><subject>Simulation</subject><subject>weighted centroid</subject><subject>Wireless networks</subject><subject>Wireless sensor networks</subject><issn>2159-3442</issn><issn>2159-3450</issn><isbn>9781457702563</isbn><isbn>1457702568</isbn><isbn>9781457702556</isbn><isbn>145770255X</isbn><isbn>9781457702549</isbn><isbn>1457702541</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkMtqAjEYhdMbVKxP4CYvMDZ_MklmlkXsBaxu7Fpy-YNpRyPJtGKfvkKl0LP5OHxwFoeQMbAJAGvvV7PFdLmYcAYwUcBbUPyCjFrdQC21ZlxKdUkGHGRbiVqyq39Oies_V_NbMirlnZ2iWFMDG5DXRfJIu-RMF79NH9OObrHfJF_oIfYbGrf7nL7QU-PcZzbuSEPKJ5Wxw1JowV059R32h5Q_yh25CaYrODpzSN4eZ6vpczVfPr1MH-ZVBC37ylqmnLcygLA6GO85M61yWDOvnABtWs8weKwbpxVaUN4KpoL1uuE-aCmGZPy7GxFxvc9xa_JxfT5H_ABLj1aT</recordid><startdate>201111</startdate><enddate>201111</enddate><creator>Kristalina, P.</creator><creator>Wirawan</creator><creator>Hendrantoro, G.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201111</creationdate><title>Node localization methods with improved accuracy for wireless sensor networks</title><author>Kristalina, P. ; Wirawan ; Hendrantoro, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-bb06cdb5f13b7fadd20a96ce40d6c317a9d0efde48c76eb16db306fbd782df753</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Accuracy</topic><topic>Ad hoc networks</topic><topic>linear intersection</topic><topic>Maximum likelihood estimation</topic><topic>node localization</topic><topic>Simulation</topic><topic>weighted centroid</topic><topic>Wireless networks</topic><topic>Wireless sensor networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Kristalina, P.</creatorcontrib><creatorcontrib>Wirawan</creatorcontrib><creatorcontrib>Hendrantoro, G.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kristalina, P.</au><au>Wirawan</au><au>Hendrantoro, G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Node localization methods with improved accuracy for wireless sensor networks</atitle><btitle>TENCON 2011 - 2011 IEEE Region 10 Conference</btitle><stitle>TENCON</stitle><date>2011-11</date><risdate>2011</risdate><spage>535</spage><epage>539</epage><pages>535-539</pages><issn>2159-3442</issn><eissn>2159-3450</eissn><isbn>9781457702563</isbn><isbn>1457702568</isbn><eisbn>9781457702556</eisbn><eisbn>145770255X</eisbn><eisbn>9781457702549</eisbn><eisbn>1457702541</eisbn><abstract>Localization technique is required to obtain the unknown nodes position in wireless sensor networks. Linear Intersection and Centroid are two selected methods on estimating the unknown position from its corresponding anchors. The execution time of these methods is acceptable. However, the error of unknown nodes position yields worst performance. We exploit likelihood estimator in refinement process of linear intersection method to obtain the sufficient error. Uncertainty impact on centroid method will be minimized by inserting the weighted factor on it. Our proposed method results in 50% reduction of average position error in grid deployment scheme, although larger execution time is needed. This paper provides an efficient method to solve the localization in small-scale deployment.</abstract><pub>IEEE</pub><doi>10.1109/TENCON.2011.6129162</doi><tpages>5</tpages></addata></record> |
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subjects | Accuracy Ad hoc networks linear intersection Maximum likelihood estimation node localization Simulation weighted centroid Wireless networks Wireless sensor networks |
title | Node localization methods with improved accuracy for wireless sensor networks |
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