Acoustic self-localization in a distributed sensor network
The purpose of this paper is to present a technique for determining the coordinate locations of nodes in a distributed sensor network. This technique is based on the time difference of arrival (TDOA) of acoustic signals. In this scheme, several sound sources of known locations transmit while each no...
Gespeichert in:
| Veröffentlicht in: | IEEE sensors journal 2006-02, Vol.6 (1), p.166-172 |
|---|---|
| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 172 |
|---|---|
| container_issue | 1 |
| container_start_page | 166 |
| container_title | IEEE sensors journal |
| container_volume | 6 |
| creator | Frampton, K.D. |
| description | The purpose of this paper is to present a technique for determining the coordinate locations of nodes in a distributed sensor network. This technique is based on the time difference of arrival (TDOA) of acoustic signals. In this scheme, several sound sources of known locations transmit while each node in the sensor network records the wave front time-of-arrival. Data from the nodes are transmitted to a central processor and the nonlinear TDOA equations are solved. Computational simulation results are presented in order to quantify the solution behavior and its sensitivity to likely error sources. Results based on experimentally collected data are also presented in order to demonstrate the potential for this approach in solving the self-localization problem. |
| doi_str_mv | 10.1109/JSEN.2005.860361 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_866945464</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1576767</ieee_id><sourcerecordid>896190805</sourcerecordid><originalsourceid>FETCH-LOGICAL-c386t-6a8a30203640ed4ec51cde43a8ee84dbad4efc0b61b70f778dca177ad5eefea3</originalsourceid><addsrcrecordid>eNp90c9LwzAUB_AiCs7pXfBSPKiXzmT57W2M-YuhB3fwFtL0FTK7ZiYton-9KRMED5JDQvi8x3t8s-wUownGSF0_viyeJlOE2ERyRDjey0aYMVlgQeX-8CaooES8HmZHMa4RwkowMcpuZtb3sXM2j9DUReOtadyX6Zxvc9fmJq9c7IIr-w6qRNroQ95C9-HD23F2UJsmwsnPPc5Wt4vV_L5YPt89zGfLwhLJu4IbaQiappkogoqCZdhWQImRAJJWpUl_tUUlx6VAtRCysgYLYSoGUIMh4-xy13Yb_HsPsdMbFy00jWkhja6l4lghiViSF__KqVBSESwSvPoXYi4wkZQQlej5H7r2fWjTvlpyriijnCaEdsgGH2OAWm-D25jwqTHSQzp6SEcP6ehdOqnkbFfiAOCXM8HTId_2Botd</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>866945464</pqid></control><display><type>article</type><title>Acoustic self-localization in a distributed sensor network</title><source>IEEE Electronic Library (IEL)</source><creator>Frampton, K.D.</creator><creatorcontrib>Frampton, K.D.</creatorcontrib><description>The purpose of this paper is to present a technique for determining the coordinate locations of nodes in a distributed sensor network. This technique is based on the time difference of arrival (TDOA) of acoustic signals. In this scheme, several sound sources of known locations transmit while each node in the sensor network records the wave front time-of-arrival. Data from the nodes are transmitted to a central processor and the nonlinear TDOA equations are solved. Computational simulation results are presented in order to quantify the solution behavior and its sensitivity to likely error sources. Results based on experimentally collected data are also presented in order to demonstrate the potential for this approach in solving the self-localization problem.</description><identifier>ISSN: 1530-437X</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2005.860361</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Acoustic array ; Acoustic sensors ; Acoustic waves ; Acoustics ; Application software ; Computerized monitoring ; Hardware ; Intelligent networks ; Mathematical analysis ; Mathematical models ; Microprocessors ; Networks ; Radio frequency ; Robotics and automation ; Sensor arrays ; sensor localization ; sensor network ; Sensors ; Sound sources ; Wave fronts ; Wireless sensor networks</subject><ispartof>IEEE sensors journal, 2006-02, Vol.6 (1), p.166-172</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c386t-6a8a30203640ed4ec51cde43a8ee84dbad4efc0b61b70f778dca177ad5eefea3</citedby><cites>FETCH-LOGICAL-c386t-6a8a30203640ed4ec51cde43a8ee84dbad4efc0b61b70f778dca177ad5eefea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1576767$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1576767$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Frampton, K.D.</creatorcontrib><title>Acoustic self-localization in a distributed sensor network</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>The purpose of this paper is to present a technique for determining the coordinate locations of nodes in a distributed sensor network. This technique is based on the time difference of arrival (TDOA) of acoustic signals. In this scheme, several sound sources of known locations transmit while each node in the sensor network records the wave front time-of-arrival. Data from the nodes are transmitted to a central processor and the nonlinear TDOA equations are solved. Computational simulation results are presented in order to quantify the solution behavior and its sensitivity to likely error sources. Results based on experimentally collected data are also presented in order to demonstrate the potential for this approach in solving the self-localization problem.</description><subject>Acoustic array</subject><subject>Acoustic sensors</subject><subject>Acoustic waves</subject><subject>Acoustics</subject><subject>Application software</subject><subject>Computerized monitoring</subject><subject>Hardware</subject><subject>Intelligent networks</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Microprocessors</subject><subject>Networks</subject><subject>Radio frequency</subject><subject>Robotics and automation</subject><subject>Sensor arrays</subject><subject>sensor localization</subject><subject>sensor network</subject><subject>Sensors</subject><subject>Sound sources</subject><subject>Wave fronts</subject><subject>Wireless sensor networks</subject><issn>1530-437X</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp90c9LwzAUB_AiCs7pXfBSPKiXzmT57W2M-YuhB3fwFtL0FTK7ZiYton-9KRMED5JDQvi8x3t8s-wUownGSF0_viyeJlOE2ERyRDjey0aYMVlgQeX-8CaooES8HmZHMa4RwkowMcpuZtb3sXM2j9DUReOtadyX6Zxvc9fmJq9c7IIr-w6qRNroQ95C9-HD23F2UJsmwsnPPc5Wt4vV_L5YPt89zGfLwhLJu4IbaQiappkogoqCZdhWQImRAJJWpUl_tUUlx6VAtRCysgYLYSoGUIMh4-xy13Yb_HsPsdMbFy00jWkhja6l4lghiViSF__KqVBSESwSvPoXYi4wkZQQlej5H7r2fWjTvlpyriijnCaEdsgGH2OAWm-D25jwqTHSQzp6SEcP6ehdOqnkbFfiAOCXM8HTId_2Botd</recordid><startdate>20060201</startdate><enddate>20060201</enddate><creator>Frampton, K.D.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><scope>F28</scope><scope>FR3</scope><scope>7TB</scope></search><sort><creationdate>20060201</creationdate><title>Acoustic self-localization in a distributed sensor network</title><author>Frampton, K.D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c386t-6a8a30203640ed4ec51cde43a8ee84dbad4efc0b61b70f778dca177ad5eefea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Acoustic array</topic><topic>Acoustic sensors</topic><topic>Acoustic waves</topic><topic>Acoustics</topic><topic>Application software</topic><topic>Computerized monitoring</topic><topic>Hardware</topic><topic>Intelligent networks</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Microprocessors</topic><topic>Networks</topic><topic>Radio frequency</topic><topic>Robotics and automation</topic><topic>Sensor arrays</topic><topic>sensor localization</topic><topic>sensor network</topic><topic>Sensors</topic><topic>Sound sources</topic><topic>Wave fronts</topic><topic>Wireless sensor networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Frampton, K.D.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><jtitle>IEEE sensors journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Frampton, K.D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Acoustic self-localization in a distributed sensor network</atitle><jtitle>IEEE sensors journal</jtitle><stitle>JSEN</stitle><date>2006-02-01</date><risdate>2006</risdate><volume>6</volume><issue>1</issue><spage>166</spage><epage>172</epage><pages>166-172</pages><issn>1530-437X</issn><eissn>1558-1748</eissn><coden>ISJEAZ</coden><abstract>The purpose of this paper is to present a technique for determining the coordinate locations of nodes in a distributed sensor network. This technique is based on the time difference of arrival (TDOA) of acoustic signals. In this scheme, several sound sources of known locations transmit while each node in the sensor network records the wave front time-of-arrival. Data from the nodes are transmitted to a central processor and the nonlinear TDOA equations are solved. Computational simulation results are presented in order to quantify the solution behavior and its sensitivity to likely error sources. Results based on experimentally collected data are also presented in order to demonstrate the potential for this approach in solving the self-localization problem.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSEN.2005.860361</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1530-437X |
| ispartof | IEEE sensors journal, 2006-02, Vol.6 (1), p.166-172 |
| issn | 1530-437X 1558-1748 |
| language | eng |
| recordid | cdi_proquest_journals_866945464 |
| source | IEEE Electronic Library (IEL) |
| subjects | Acoustic array Acoustic sensors Acoustic waves Acoustics Application software Computerized monitoring Hardware Intelligent networks Mathematical analysis Mathematical models Microprocessors Networks Radio frequency Robotics and automation Sensor arrays sensor localization sensor network Sensors Sound sources Wave fronts Wireless sensor networks |
| title | Acoustic self-localization in a distributed sensor network |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T20%3A30%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Acoustic%20self-localization%20in%20a%20distributed%20sensor%20network&rft.jtitle=IEEE%20sensors%20journal&rft.au=Frampton,%20K.D.&rft.date=2006-02-01&rft.volume=6&rft.issue=1&rft.spage=166&rft.epage=172&rft.pages=166-172&rft.issn=1530-437X&rft.eissn=1558-1748&rft.coden=ISJEAZ&rft_id=info:doi/10.1109/JSEN.2005.860361&rft_dat=%3Cproquest_RIE%3E896190805%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=866945464&rft_id=info:pmid/&rft_ieee_id=1576767&rfr_iscdi=true |