A Novel Non-Line-of-Sight Indoor Localization Method for Wireless Sensor Networks
The localization technology is the essential requirement of constructing a smart building and smart city. It is one of the most important technologies for wireless sensor networks (WSNs). However, when WSNs are deployed in harsh indoor environments, obstacles can result in non-line-of-sight (NLOS) p...
Gespeichert in:
| Veröffentlicht in: | Journal of sensors 2018-01, Vol.2018 (2018), p.1-10 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 10 |
|---|---|
| container_issue | 2018 |
| container_start_page | 1 |
| container_title | Journal of sensors |
| container_volume | 2018 |
| creator | Wang, Yan Cheng, Chenglong Wu, Xuehan |
| description | The localization technology is the essential requirement of constructing a smart building and smart city. It is one of the most important technologies for wireless sensor networks (WSNs). However, when WSNs are deployed in harsh indoor environments, obstacles can result in non-line-of-sight (NLOS) propagation. In addition, NLOS propagation can seriously reduce localization accuracy. In this paper, we propose a NLOS localization method based on residual analysis to reduce the influence of NLOS error. The time of arrival (TOA) measurement model is used to estimate the distance. Then, the NLOS measurement is identified through the residual analysis method. Finally, this paper uses the LOS measurements to establish the localization objective function and proposes the particle swarm optimization with a constriction factor (PSO-C) method to compute the position of an unknown node. Simulation results show that the proposed method not only effectively identifies the LOS/NLOS propagation condition but also reduces the influence of NLOS error. |
| doi_str_mv | 10.1155/2018/3715372 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2116805055</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2116805055</sourcerecordid><originalsourceid>FETCH-LOGICAL-c427t-8bb3cf02af65c8e48bcf870da54372e1725c780258c316cd3700337056d888c3</originalsourceid><addsrcrecordid>eNqF0M9PwyAUB3BiNHFOb55NE4-K40cpXJfF6ZI6Y7ZEbw2j4JgVJnQu-tfL0kWPXh7w8gk8vgCcY3SDMWMDgrAYUI4Z5eQA9HAhOOSkEIe_e_ZyDE5iXCFUUE5pDzwNs6n_1E2qDpbWaegNnNnXZZtNXO19yEqvZGO_ZWu9yx50u_R1ZlL_2Qbd6BizmXYxnae63frwFk_BkZFN1Gf7tQ_m49v56B6Wj3eT0bCEKie8hWKxoMogIk3BlNC5WCgjOKoly9P0GqdZFReIMKEoLlRNOUI0FVbUQqReH1x2166D_9jo2FYrvwkuvVgRnH6LGGIsqetOqeBjDNpU62DfZfiqMKp2mVW7zKp9ZolfdXxpXS239j990WmdjDbyTyeGc0R_ADnHc8A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2116805055</pqid></control><display><type>article</type><title>A Novel Non-Line-of-Sight Indoor Localization Method for Wireless Sensor Networks</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Wiley-Blackwell Open Access Titles</source><source>Alma/SFX Local Collection</source><creator>Wang, Yan ; Cheng, Chenglong ; Wu, Xuehan</creator><contributor>Stamatescu, Grigore ; Grigore Stamatescu</contributor><creatorcontrib>Wang, Yan ; Cheng, Chenglong ; Wu, Xuehan ; Stamatescu, Grigore ; Grigore Stamatescu</creatorcontrib><description>The localization technology is the essential requirement of constructing a smart building and smart city. It is one of the most important technologies for wireless sensor networks (WSNs). However, when WSNs are deployed in harsh indoor environments, obstacles can result in non-line-of-sight (NLOS) propagation. In addition, NLOS propagation can seriously reduce localization accuracy. In this paper, we propose a NLOS localization method based on residual analysis to reduce the influence of NLOS error. The time of arrival (TOA) measurement model is used to estimate the distance. Then, the NLOS measurement is identified through the residual analysis method. Finally, this paper uses the LOS measurements to establish the localization objective function and proposes the particle swarm optimization with a constriction factor (PSO-C) method to compute the position of an unknown node. Simulation results show that the proposed method not only effectively identifies the LOS/NLOS propagation condition but also reduces the influence of NLOS error.</description><identifier>ISSN: 1687-725X</identifier><identifier>EISSN: 1687-7268</identifier><identifier>DOI: 10.1155/2018/3715372</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Accuracy ; Algorithms ; Computer simulation ; Environmental monitoring ; Error analysis ; Estimates ; Global positioning systems ; GPS ; Indoor environments ; Line of sight ; Localization ; Localization method ; Measurement techniques ; Methods ; Particle swarm optimization ; Propagation ; Remote sensors ; Semidefinite programming ; Sensors ; Signal processing ; Wireless communications ; Wireless networks ; Wireless sensor networks</subject><ispartof>Journal of sensors, 2018-01, Vol.2018 (2018), p.1-10</ispartof><rights>Copyright © 2018 Yan Wang et al.</rights><rights>Copyright © 2018 Yan Wang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c427t-8bb3cf02af65c8e48bcf870da54372e1725c780258c316cd3700337056d888c3</citedby><cites>FETCH-LOGICAL-c427t-8bb3cf02af65c8e48bcf870da54372e1725c780258c316cd3700337056d888c3</cites><orcidid>0000-0002-8656-7838 ; 0000-0002-3306-8613</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><contributor>Stamatescu, Grigore</contributor><contributor>Grigore Stamatescu</contributor><creatorcontrib>Wang, Yan</creatorcontrib><creatorcontrib>Cheng, Chenglong</creatorcontrib><creatorcontrib>Wu, Xuehan</creatorcontrib><title>A Novel Non-Line-of-Sight Indoor Localization Method for Wireless Sensor Networks</title><title>Journal of sensors</title><description>The localization technology is the essential requirement of constructing a smart building and smart city. It is one of the most important technologies for wireless sensor networks (WSNs). However, when WSNs are deployed in harsh indoor environments, obstacles can result in non-line-of-sight (NLOS) propagation. In addition, NLOS propagation can seriously reduce localization accuracy. In this paper, we propose a NLOS localization method based on residual analysis to reduce the influence of NLOS error. The time of arrival (TOA) measurement model is used to estimate the distance. Then, the NLOS measurement is identified through the residual analysis method. Finally, this paper uses the LOS measurements to establish the localization objective function and proposes the particle swarm optimization with a constriction factor (PSO-C) method to compute the position of an unknown node. Simulation results show that the proposed method not only effectively identifies the LOS/NLOS propagation condition but also reduces the influence of NLOS error.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Computer simulation</subject><subject>Environmental monitoring</subject><subject>Error analysis</subject><subject>Estimates</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Indoor environments</subject><subject>Line of sight</subject><subject>Localization</subject><subject>Localization method</subject><subject>Measurement techniques</subject><subject>Methods</subject><subject>Particle swarm optimization</subject><subject>Propagation</subject><subject>Remote sensors</subject><subject>Semidefinite programming</subject><subject>Sensors</subject><subject>Signal processing</subject><subject>Wireless communications</subject><subject>Wireless networks</subject><subject>Wireless sensor networks</subject><issn>1687-725X</issn><issn>1687-7268</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqF0M9PwyAUB3BiNHFOb55NE4-K40cpXJfF6ZI6Y7ZEbw2j4JgVJnQu-tfL0kWPXh7w8gk8vgCcY3SDMWMDgrAYUI4Z5eQA9HAhOOSkEIe_e_ZyDE5iXCFUUE5pDzwNs6n_1E2qDpbWaegNnNnXZZtNXO19yEqvZGO_ZWu9yx50u_R1ZlL_2Qbd6BizmXYxnae63frwFk_BkZFN1Gf7tQ_m49v56B6Wj3eT0bCEKie8hWKxoMogIk3BlNC5WCgjOKoly9P0GqdZFReIMKEoLlRNOUI0FVbUQqReH1x2166D_9jo2FYrvwkuvVgRnH6LGGIsqetOqeBjDNpU62DfZfiqMKp2mVW7zKp9ZolfdXxpXS239j990WmdjDbyTyeGc0R_ADnHc8A</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Wang, Yan</creator><creator>Cheng, Chenglong</creator><creator>Wu, Xuehan</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SP</scope><scope>7U5</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KB.</scope><scope>L6V</scope><scope>L7M</scope><scope>M0N</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-8656-7838</orcidid><orcidid>https://orcid.org/0000-0002-3306-8613</orcidid></search><sort><creationdate>20180101</creationdate><title>A Novel Non-Line-of-Sight Indoor Localization Method for Wireless Sensor Networks</title><author>Wang, Yan ; Cheng, Chenglong ; Wu, Xuehan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-8bb3cf02af65c8e48bcf870da54372e1725c780258c316cd3700337056d888c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>Computer simulation</topic><topic>Environmental monitoring</topic><topic>Error analysis</topic><topic>Estimates</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Indoor environments</topic><topic>Line of sight</topic><topic>Localization</topic><topic>Localization method</topic><topic>Measurement techniques</topic><topic>Methods</topic><topic>Particle swarm optimization</topic><topic>Propagation</topic><topic>Remote sensors</topic><topic>Semidefinite programming</topic><topic>Sensors</topic><topic>Signal processing</topic><topic>Wireless communications</topic><topic>Wireless networks</topic><topic>Wireless sensor networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yan</creatorcontrib><creatorcontrib>Cheng, Chenglong</creatorcontrib><creatorcontrib>Wu, Xuehan</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computing Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of sensors</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Yan</au><au>Cheng, Chenglong</au><au>Wu, Xuehan</au><au>Stamatescu, Grigore</au><au>Grigore Stamatescu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Novel Non-Line-of-Sight Indoor Localization Method for Wireless Sensor Networks</atitle><jtitle>Journal of sensors</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>2018</volume><issue>2018</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>1687-725X</issn><eissn>1687-7268</eissn><abstract>The localization technology is the essential requirement of constructing a smart building and smart city. It is one of the most important technologies for wireless sensor networks (WSNs). However, when WSNs are deployed in harsh indoor environments, obstacles can result in non-line-of-sight (NLOS) propagation. In addition, NLOS propagation can seriously reduce localization accuracy. In this paper, we propose a NLOS localization method based on residual analysis to reduce the influence of NLOS error. The time of arrival (TOA) measurement model is used to estimate the distance. Then, the NLOS measurement is identified through the residual analysis method. Finally, this paper uses the LOS measurements to establish the localization objective function and proposes the particle swarm optimization with a constriction factor (PSO-C) method to compute the position of an unknown node. Simulation results show that the proposed method not only effectively identifies the LOS/NLOS propagation condition but also reduces the influence of NLOS error.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2018/3715372</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-8656-7838</orcidid><orcidid>https://orcid.org/0000-0002-3306-8613</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1687-725X |
| ispartof | Journal of sensors, 2018-01, Vol.2018 (2018), p.1-10 |
| issn | 1687-725X 1687-7268 |
| language | eng |
| recordid | cdi_proquest_journals_2116805055 |
| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Wiley-Blackwell Open Access Titles; Alma/SFX Local Collection |
| subjects | Accuracy Algorithms Computer simulation Environmental monitoring Error analysis Estimates Global positioning systems GPS Indoor environments Line of sight Localization Localization method Measurement techniques Methods Particle swarm optimization Propagation Remote sensors Semidefinite programming Sensors Signal processing Wireless communications Wireless networks Wireless sensor networks |
| title | A Novel Non-Line-of-Sight Indoor Localization Method 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=2025-01-05T14%3A33%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Novel%20Non-Line-of-Sight%20Indoor%20Localization%20Method%20for%20Wireless%20Sensor%20Networks&rft.jtitle=Journal%20of%20sensors&rft.au=Wang,%20Yan&rft.date=2018-01-01&rft.volume=2018&rft.issue=2018&rft.spage=1&rft.epage=10&rft.pages=1-10&rft.issn=1687-725X&rft.eissn=1687-7268&rft_id=info:doi/10.1155/2018/3715372&rft_dat=%3Cproquest_cross%3E2116805055%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2116805055&rft_id=info:pmid/&rfr_iscdi=true |