Efficient Spatio-temporal Sensor Data Loading for a Sensor Web Browser
Identifieur interne : 000286 ( Istex/Corpus ); précédent : 000285; suivant : 000287Efficient Spatio-temporal Sensor Data Loading for a Sensor Web Browser
Auteurs : Chih-Yuan Huang ; Rohana Rezel ; Steve LiangSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: We present a Sensor Web browser with an efficient spatio-temporal data loading mechanism as a client-side application in GeoCENS project. The same way the World Wide Web needs a web browser to load and display web pages, the World Wide Sensor Web needs a Sensor Web browser to access distributed and heterogeneous sensor networks. However, most existing Sensor Web browsers are just mashups of sensor locations and base maps that do not consider the scalability issues regarding transmitting large amount of sensor readings over the Internet. While caching is an effective solution to alleviate transmission latency and bandwidth problems, a method for efficiently loading spatio-temporal sensor data from Sensor Web servers is currently missing. Therefore, we present LOST-Tree, a new spatio-temporal structure, intended to be the sensor data loading component on a Sensor Web browser. By applying LOST-Tree, redundant transmissions are avoided and consequently enables efficient loading with cached sensor data.
Url:
DOI: 10.1007/978-3-642-22922-0_39
Links to Exploration step
ISTEX:FFEAAAA87E30F6F087B77EEE63B322F374A0B2A0Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Efficient Spatio-temporal Sensor Data Loading for a Sensor Web Browser</title><author><name sortKey="Huang, Chih Yuan" sort="Huang, Chih Yuan" uniqKey="Huang C" first="Chih-Yuan" last="Huang">Chih-Yuan Huang</name><affiliation><mods:affiliation>Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: huangcy@ucalgary.ca</mods:affiliation></affiliation></author><author><name sortKey="Rezel, Rohana" sort="Rezel, Rohana" uniqKey="Rezel R" first="Rohana" last="Rezel">Rohana Rezel</name><affiliation><mods:affiliation>Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: rdrezel@ucalgary.ca</mods:affiliation></affiliation></author><author><name sortKey="Liang, Steve" sort="Liang, Steve" uniqKey="Liang S" first="Steve" last="Liang">Steve Liang</name><affiliation><mods:affiliation>Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: steve.liang@ucalgary.ca</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:FFEAAAA87E30F6F087B77EEE63B322F374A0B2A0</idno><date when="2011" year="2011">2011</date><idno type="doi">10.1007/978-3-642-22922-0_39</idno><idno type="url">https://api.istex.fr/document/FFEAAAA87E30F6F087B77EEE63B322F374A0B2A0/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000286</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Efficient Spatio-temporal Sensor Data Loading for a Sensor Web Browser</title><author><name sortKey="Huang, Chih Yuan" sort="Huang, Chih Yuan" uniqKey="Huang C" first="Chih-Yuan" last="Huang">Chih-Yuan Huang</name><affiliation><mods:affiliation>Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: huangcy@ucalgary.ca</mods:affiliation></affiliation></author><author><name sortKey="Rezel, Rohana" sort="Rezel, Rohana" uniqKey="Rezel R" first="Rohana" last="Rezel">Rohana Rezel</name><affiliation><mods:affiliation>Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: rdrezel@ucalgary.ca</mods:affiliation></affiliation></author><author><name sortKey="Liang, Steve" sort="Liang, Steve" uniqKey="Liang S" first="Steve" last="Liang">Steve Liang</name><affiliation><mods:affiliation>Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: steve.liang@ucalgary.ca</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2011</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">FFEAAAA87E30F6F087B77EEE63B322F374A0B2A0</idno><idno type="DOI">10.1007/978-3-642-22922-0_39</idno><idno type="ChapterID">39</idno><idno type="ChapterID">Chap39</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: We present a Sensor Web browser with an efficient spatio-temporal data loading mechanism as a client-side application in GeoCENS project. The same way the World Wide Web needs a web browser to load and display web pages, the World Wide Sensor Web needs a Sensor Web browser to access distributed and heterogeneous sensor networks. However, most existing Sensor Web browsers are just mashups of sensor locations and base maps that do not consider the scalability issues regarding transmitting large amount of sensor readings over the Internet. While caching is an effective solution to alleviate transmission latency and bandwidth problems, a method for efficiently loading spatio-temporal sensor data from Sensor Web servers is currently missing. Therefore, we present LOST-Tree, a new spatio-temporal structure, intended to be the sensor data loading component on a Sensor Web browser. 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The same way the World Wide Web needs a web browser to load and display web pages, the World Wide Sensor Web needs a Sensor Web browser to access distributed and heterogeneous sensor networks. However, most existing Sensor Web browsers are just mashups of sensor locations and base maps that do not consider the scalability issues regarding transmitting large amount of sensor readings over the Internet. While caching is an effective solution to alleviate transmission latency and bandwidth problems, a method for efficiently loading spatio-temporal sensor data from Sensor Web servers is currently missing. Therefore, we present LOST-Tree, a new spatio-temporal structure, intended to be the sensor data loading component on a Sensor Web browser. 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University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-22922-0</BookID><BookTitle>Advances in Spatial and Temporal Databases</BookTitle><BookSubTitle>12th International Symposium, SSTD 2011, Minneapolis, MN, USA, August 24-26, 2011, 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17</Street><Postcode>11524</Postcode><City>Athens</City><Country>Greece</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Department of Computer Science and Engineering</OrgDivision><OrgName>Chinese University of Hong Kong</OrgName><OrgAddress><City>Sha Tin</City><State>New Territories</State><Country>Hong Kong SAR, China</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>School of Information Systems</OrgDivision><OrgName>Singapore Management University</OrgName><OrgAddress><Street>80 Stamford Road</Street><Postcode>178902</Postcode><Country>Singapore</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>Department of Computing Science</OrgDivision><OrgName>ATH University of Alberta</OrgName><OrgAddress><Postcode>T6G 2E8</Postcode><City>Edmonton</City><State>Alberta</State><Country>Canada</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>Department of Computer Science and Engineering</OrgDivision><OrgName>University of Minnesota</OrgName><OrgAddress><Street>4-192, 200 Union St. SE</Street><City>Minneapolis</City><State>MN</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgDivision>Department of Computer Science and Engineering</OrgDivision><OrgName>University of North Texas</OrgName><OrgAddress><Street>3040 North Elm</Street><City>Denton</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part4"><PartInfo TocLevels="0"><PartID>4</PartID><PartSequenceNumber>4</PartSequenceNumber><PartTitle>Demonstrations</PartTitle><PartChapterCount>8</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Advances in Spatial and Temporal Databases</BookTitle></PartContext></PartInfo><Chapter ID="Chap39" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>39</ChapterID><ChapterDOI>10.1007/978-3-642-22922-0_39</ChapterDOI><ChapterSequenceNumber>39</ChapterSequenceNumber><ChapterTitle Language="En">Efficient Spatio-temporal Sensor Data Loading for a Sensor Web Browser</ChapterTitle><ChapterFirstPage>502</ChapterFirstPage><ChapterLastPage>506</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2011</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>4</PartID><BookID>978-3-642-22922-0</BookID><BookTitle>Advances in Spatial and Temporal Databases</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Chih-Yuan</GivenName><FamilyName>Huang</FamilyName></AuthorName><Contact><Email>huangcy@ucalgary.ca</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Rohana</GivenName><FamilyName>Rezel</FamilyName></AuthorName><Contact><Email>rdrezel@ucalgary.ca</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Steve</GivenName><FamilyName>Liang</FamilyName></AuthorName><Contact><Email>steve.liang@ucalgary.ca</Email></Contact></Author><Affiliation ID="Aff22"><OrgDivision>Department of Geomatics Engineering</OrgDivision><OrgName>University of Calgary</OrgName><OrgAddress><City>Calgary</City><State>Alberta</State><Country>Canada</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>We present a Sensor Web browser with an efficient spatio-temporal data loading mechanism as a client-side application in GeoCENS project. The same way the World Wide Web needs a web browser to load and display web pages, the World Wide Sensor Web needs a Sensor Web browser to access distributed and heterogeneous sensor networks. However, most existing Sensor Web browsers are just <Emphasis Type="Italic">mashups </Emphasis>of sensor locations and base maps that do not consider the scalability issues regarding transmitting large amount of sensor readings over the Internet. While caching is an effective solution to alleviate transmission latency and bandwidth problems, a method for efficiently loading spatio-temporal sensor data from Sensor Web servers is currently missing. Therefore, we present LOST-Tree, a new spatio-temporal structure, intended to be the sensor data loading component on a Sensor Web browser. By applying LOST-Tree, redundant transmissions are avoided and consequently enables efficient loading with cached sensor data.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>sensor data management</Keyword><Keyword>spatio-temporal indexing</Keyword><Keyword>Sensor Web</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Efficient Spatio-temporal Sensor Data Loading for a Sensor Web Browser</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Efficient Spatio-temporal Sensor Data Loading for a Sensor Web Browser</title></titleInfo><name type="personal"><namePart type="given">Chih-Yuan</namePart><namePart type="family">Huang</namePart><affiliation>Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada</affiliation><affiliation>E-mail: huangcy@ucalgary.ca</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Rohana</namePart><namePart type="family">Rezel</namePart><affiliation>Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada</affiliation><affiliation>E-mail: rdrezel@ucalgary.ca</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Steve</namePart><namePart type="family">Liang</namePart><affiliation>Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada</affiliation><affiliation>E-mail: steve.liang@ucalgary.ca</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2011</dateIssued><copyrightDate encoding="w3cdtf">2011</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: We present a Sensor Web browser with an efficient spatio-temporal data loading mechanism as a client-side application in GeoCENS project. The same way the World Wide Web needs a web browser to load and display web pages, the World Wide Sensor Web needs a Sensor Web browser to access distributed and heterogeneous sensor networks. However, most existing Sensor Web browsers are just mashups of sensor locations and base maps that do not consider the scalability issues regarding transmitting large amount of sensor readings over the Internet. While caching is an effective solution to alleviate transmission latency and bandwidth problems, a method for efficiently loading spatio-temporal sensor data from Sensor Web servers is currently missing. Therefore, we present LOST-Tree, a new spatio-temporal structure, intended to be the sensor data loading component on a Sensor Web browser. By applying LOST-Tree, redundant transmissions are avoided and consequently enables efficient loading with cached sensor data.</abstract><relatedItem type="host"><titleInfo><title>Advances in Spatial and Temporal Databases</title><subTitle>12th International Symposium, SSTD 2011, Minneapolis, MN, USA, August 24-26, 2011, Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Dieter</namePart><namePart type="family">Pfoser</namePart><affiliation>Institute for the Management of Information Systems, Research Center “ATHENA”, G.Mpakou 17, 11524, Athens, Greece</affiliation><affiliation>E-mail: pfoser@imis.athena-innovation.gr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Yufei</namePart><namePart type="family">Tao</namePart><affiliation>Department of Computer Science and Engineering, Chinese University of Hong Kong, Sha Tin, New Territories, Hong Kong SAR, China</affiliation><affiliation>E-mail: taoyf@cse.cuhk.edu.hk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Kyriakos</namePart><namePart type="family">Mouratidis</namePart><affiliation>School of Information Systems, Singapore Management University, 80 Stamford Road, 178902, Singapore</affiliation><affiliation>E-mail: kyriakos@smu.edu.sg</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Mario</namePart><namePart type="given">A.</namePart><namePart type="family">Nascimento</namePart><affiliation>Department of Computing Science, ATH University of Alberta, T6G 2E8, Edmonton, Alberta, Canada</affiliation><affiliation>E-mail: mario.nascimento@ualberta.ca</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Mohamed</namePart><namePart type="family">Mokbel</namePart><affiliation>Department of Computer Science and Engineering, University of Minnesota, 4-192, 200 Union St. SE, Minneapolis, MN, USA</affiliation><affiliation>E-mail: mokbel@cs.umn.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Shashi</namePart><namePart type="family">Shekhar</namePart><affiliation>Department of Computer Science and Engineering, University of Minnesota, 4-192, 200 Union St. SE, Minneapolis, MN, USA</affiliation><affiliation>E-mail: shekhar@cs.umn.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Yan</namePart><namePart type="family">Huang</namePart><affiliation>Department of Computer Science and Engineering, University of North Texas, 3040 North Elm, Denton, TX, USA</affiliation><affiliation>E-mail: huangyan@unt.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2011</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book-Subject-Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book-Subject-Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I18024">Database Management</topic><topic authority="SpringerSubjectCodes" authorityURI="G00002">Earth Sciences, general</topic><topic authority="SpringerSubjectCodes" authorityURI="I18030">Data Mining and Knowledge Discovery</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl. 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uri="https://api.istex.fr/document/FFEAAAA87E30F6F087B77EEE63B322F374A0B2A0/enrichments/refBib"><teiHeader></teiHeader><text><front></front><body></body><back><listBibl><biblStruct xml:id="b0"><monogr><title level="m" type="main">calendar string for each LT CCube , the tree size is small enough (<25Kbytes) to fit into memory for efficient filtering processing. 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