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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Kristalina, P., Wirawan, Hendrantoro, G.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 539
container_issue
container_start_page 535
container_title
container_volume
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
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6129162</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6129162</ieee_id><sourcerecordid>6129162</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-bb06cdb5f13b7fadd20a96ce40d6c317a9d0efde48c76eb16db306fbd782df753</originalsourceid><addsrcrecordid>eNpVkMtqAjEYhdMbVKxP4CYvMDZ_MklmlkXsBaxu7Fpy-YNpRyPJtGKfvkKl0LP5OHxwFoeQMbAJAGvvV7PFdLmYcAYwUcBbUPyCjFrdQC21ZlxKdUkGHGRbiVqyq39Oies_V_NbMirlnZ2iWFMDG5DXRfJIu-RMF79NH9OObrHfJF_oIfYbGrf7nL7QU-PcZzbuSEPKJ5Wxw1JowV059R32h5Q_yh25CaYrODpzSN4eZ6vpczVfPr1MH-ZVBC37ylqmnLcygLA6GO85M61yWDOvnABtWs8weKwbpxVaUN4KpoL1uuE-aCmGZPy7GxFxvc9xa_JxfT5H_ABLj1aT</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Node localization methods with improved accuracy for wireless sensor networks</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Kristalina, P. ; Wirawan ; Hendrantoro, G.</creator><creatorcontrib>Kristalina, P. ; Wirawan ; Hendrantoro, G.</creatorcontrib><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.</description><identifier>ISSN: 2159-3442</identifier><identifier>ISBN: 9781457702563</identifier><identifier>ISBN: 1457702568</identifier><identifier>EISSN: 2159-3450</identifier><identifier>EISBN: 9781457702556</identifier><identifier>EISBN: 145770255X</identifier><identifier>EISBN: 9781457702549</identifier><identifier>EISBN: 1457702541</identifier><identifier>DOI: 10.1109/TENCON.2011.6129162</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Ad hoc networks ; linear intersection ; Maximum likelihood estimation ; node localization ; Simulation ; weighted centroid ; Wireless networks ; Wireless sensor networks</subject><ispartof>TENCON 2011 - 2011 IEEE Region 10 Conference, 2011, p.535-539</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6129162$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6129162$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kristalina, P.</creatorcontrib><creatorcontrib>Wirawan</creatorcontrib><creatorcontrib>Hendrantoro, G.</creatorcontrib><title>Node localization methods with improved accuracy for wireless sensor networks</title><title>TENCON 2011 - 2011 IEEE Region 10 Conference</title><addtitle>TENCON</addtitle><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.</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>
fulltext fulltext_linktorsrc
identifier ISSN: 2159-3442
ispartof TENCON 2011 - 2011 IEEE Region 10 Conference, 2011, p.535-539
issn 2159-3442
2159-3450
language eng
recordid cdi_ieee_primary_6129162
source IEEE Electronic Library (IEL) Conference Proceedings
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T05%3A09%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Node%20localization%20methods%20with%20improved%20accuracy%20for%20wireless%20sensor%20networks&rft.btitle=TENCON%202011%20-%202011%20IEEE%20Region%2010%20Conference&rft.au=Kristalina,%20P.&rft.date=2011-11&rft.spage=535&rft.epage=539&rft.pages=535-539&rft.issn=2159-3442&rft.eissn=2159-3450&rft.isbn=9781457702563&rft.isbn_list=1457702568&rft_id=info:doi/10.1109/TENCON.2011.6129162&rft_dat=%3Cieee_6IE%3E6129162%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781457702556&rft.eisbn_list=145770255X&rft.eisbn_list=9781457702549&rft.eisbn_list=1457702541&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6129162&rfr_iscdi=true