Implementation of Greenhouse Monitoring System Using Ubiquitous Sensor Networks Based on WMN
Identifieur interne : 000723 ( Istex/Corpus ); précédent : 000722; suivant : 000724Implementation of Greenhouse Monitoring System Using Ubiquitous Sensor Networks Based on WMN
Auteurs : Jeonghwan Hwang ; Hyun YoeSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: The USN technology is one of the important technologies to implement the ubiquitous society, which has been used in applications of various fields, and in the agricultural sector, the value-added and productivity are increased by applying it to production management, distribution etc. as well as growing conditions. Particularly, in the greenhouse, the quality and productivity for crops are improved by monitoring and managing growth information for crops and environmental information etc. with the utilization of USN. However, the network topology is frequently changed since sensor nodes building a USN have limited energy resources, and it is not suitable to operate a network by construct a large-scale network through a network extension because packets could be lost during long-distance data transmission. This paper proposes a greenhouse monitoring system applying WMN technologies to a USN to solve problems mentioned above, and implements the system after analyzing the performance through a simulation. In the proposed system, a mesh coordinator is constructed on the data transmission path between sensor nodes and a gateway for monitoring greenhouse environment, and it could be found that this system has higher data transmission efficiency and energy efficiency than the system constructing with conventional USN.
Url:
DOI: 10.1007/978-3-642-17569-5_68
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Particularly, in the greenhouse, the quality and productivity for crops are improved by monitoring and managing growth information for crops and environmental information etc. with the utilization of USN. However, the network topology is frequently changed since sensor nodes building a USN have limited energy resources, and it is not suitable to operate a network by construct a large-scale network through a network extension because packets could be lost during long-distance data transmission. This paper proposes a greenhouse monitoring system applying WMN technologies to a USN to solve problems mentioned above, and implements the system after analyzing the performance through a simulation. In the proposed system, a mesh coordinator is constructed on the data transmission path between sensor nodes and a gateway for monitoring greenhouse environment, and it could be found that this system has higher data transmission efficiency and energy efficiency than the system constructing with conventional USN.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Jeonghwan Hwang</name><affiliations><json:string>School of Information and Communication Engineering, Sunchon National University, Korea</json:string><json:string>E-mail: jhwang@sunchon.ac.kr</json:string></affiliations></json:item><json:item><name>Hyun Yoe</name><affiliations><json:string>School of Information and Communication Engineering, Sunchon National University, Korea</json:string><json:string>E-mail: yhyun@sunchon.ac.kr</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><originalGenre><json:string>OriginalPaper</json:string></originalGenre><abstract>Abstract: The USN technology is one of the important technologies to implement the ubiquitous society, which has been used in applications of various fields, and in the agricultural sector, the value-added and productivity are increased by applying it to production management, distribution etc. as well as growing conditions. 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Particularly, in the greenhouse, the quality and productivity for crops are improved by monitoring and managing growth information for crops and environmental information etc. with the utilization of USN. However, the network topology is frequently changed since sensor nodes building a USN have limited energy resources, and it is not suitable to operate a network by construct a large-scale network through a network extension because packets could be lost during long-distance data transmission. This paper proposes a greenhouse monitoring system applying WMN technologies to a USN to solve problems mentioned above, and implements the system after analyzing the performance through a simulation. In the proposed system, a mesh coordinator is constructed on the data transmission path between sensor nodes and a gateway for monitoring greenhouse environment, and it could be found that this system has higher data transmission efficiency and energy efficiency than the system constructing with conventional USN.</p></abstract><textClass><keywords scheme="Book-Subject-Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book-Subject-Group"><list><label>I</label><label>I13022</label><label>I21017</label><label>I18040</label><label>I16021</label><label>I14029</label><label>I2203X</label><item><term>Computer Science</term></item><item><term>Computer Communication Networks</term></item><item><term>Artificial Intelligence (incl. 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DisplayOrder="Western"><GivenName>Gerhard</GivenName><FamilyName>Weikum</FamilyName></EditorName></Editor><Affiliation ID="Aff1"><OrgName>Lancaster University</OrgName><OrgAddress><City>Lancaster</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>University of Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><City>Zurich</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>Stanford</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Weizmann Institute of Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><City>Bern</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><City>Dortmund</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><State>MA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice 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>978-3-642-17569-5</BookID><BookTitle>Future Generation Information Technology</BookTitle><BookSubTitle>Second International Conference, FGIT 2010, Jeju Island, Korea, December 13-15, 2010. Proceedings</BookSubTitle><BookVolumeNumber>6485</BookVolumeNumber><BookSequenceNumber>6485</BookSequenceNumber><BookDOI>10.1007/978-3-642-17569-5</BookDOI><BookTitleID>215589</BookTitleID><BookPrintISBN>978-3-642-17568-8</BookPrintISBN><BookElectronicISBN>978-3-642-17569-5</BookElectronicISBN><BookChapterCount>74</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I13022" Priority="1" Type="Secondary">Computer Communication Networks</BookSubject><BookSubject Code="I21017" Priority="2" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I18040" Priority="3" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I16021" Priority="4" Type="Secondary">Algorithm Analysis and Problem Complexity</BookSubject><BookSubject Code="I14029" Priority="5" Type="Secondary">Software Engineering</BookSubject><BookSubject Code="I2203X" Priority="6" Type="Secondary">Pattern Recognition</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Tai-hoon</GivenName><FamilyName>Kim</FamilyName></EditorName><Contact><Email>taihoonn@hnu.kr</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Young-hoon</GivenName><FamilyName>Lee</FamilyName></EditorName><Contact><Email>yhnlee@sogang.ac.kr</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Byeong-Ho</GivenName><FamilyName>Kang</FamilyName></EditorName><Contact><Email>byeong.kang@utas.edu.au</Email></Contact></Editor><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Dominik</GivenName><FamilyName>Ślęzak</FamilyName></EditorName><Contact><Email>slezak@infobright.com</Email></Contact></Editor><Affiliation ID="Aff16"><OrgName>Hannam University</OrgName><OrgAddress><Street>133 Ojeong-dong, daeduk-gu</Street><Postcode>306-791</Postcode><City>Daejeon</City><Country>South Korea</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgName>Hannam University</OrgName><OrgAddress><City>Daejeon</City><Country>South Korea</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgName>University of Tasmania</OrgName><OrgAddress><City>Hobart</City><State>Tasmania</State><Country>Australia</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgName>University of Warsaw & Infobright Inc.,</OrgName><OrgAddress><Country>Poland</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part3"><PartInfo TocLevels="0"><PartID>3</PartID><PartSequenceNumber>3</PartSequenceNumber><PartTitle>Security, Software Engineering, Communication and Networking</PartTitle><PartChapterCount>37</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Future Generation Information Technology</BookTitle></PartContext></PartInfo><Chapter ID="Chap68" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>68</ChapterID><ChapterDOI>10.1007/978-3-642-17569-5_68</ChapterDOI><ChapterSequenceNumber>68</ChapterSequenceNumber><ChapterTitle Language="En">Implementation of Greenhouse Monitoring System Using Ubiquitous Sensor Networks Based on WMN</ChapterTitle><ChapterFirstPage>686</ChapterFirstPage><ChapterLastPage>698</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</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>3</PartID><BookID>978-3-642-17569-5</BookID><BookTitle>Future Generation Information Technology</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Jeonghwan</GivenName><FamilyName>Hwang</FamilyName></AuthorName><Contact><Email>jhwang@sunchon.ac.kr</Email></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Hyun</GivenName><FamilyName>Yoe</FamilyName></AuthorName><Contact><Email>yhyun@sunchon.ac.kr</Email></Contact></Author><Affiliation ID="Aff20"><OrgDivision>School of Information and Communication Engineering</OrgDivision><OrgName>Sunchon National University</OrgName><OrgAddress><Country>Korea</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>The USN technology is one of the important technologies to implement the ubiquitous society, which has been used in applications of various fields, and in the agricultural sector, the value-added and productivity are increased by applying it to production management, distribution etc. as well as growing conditions. Particularly, in the greenhouse, the quality and productivity for crops are improved by monitoring and managing growth information for crops and environmental information etc. with the utilization of USN. However, the network topology is frequently changed since sensor nodes building a USN have limited energy resources, and it is not suitable to operate a network by construct a large-scale network through a network extension because packets could be lost during long-distance data transmission. This paper proposes a greenhouse monitoring system applying WMN technologies to a USN to solve problems mentioned above, and implements the system after analyzing the performance through a simulation. In the proposed system, a mesh coordinator is constructed on the data transmission path between sensor nodes and a gateway for monitoring greenhouse environment, and it could be found that this system has higher data transmission efficiency and energy efficiency than the system constructing with conventional USN.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Greenhouse</Keyword><Keyword>USN</Keyword><Keyword>WMN</Keyword><Keyword>Agriculture</Keyword><Keyword>Ubiquitous</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Implementation of Greenhouse Monitoring System Using Ubiquitous Sensor Networks Based on WMN</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Implementation of Greenhouse Monitoring System Using Ubiquitous Sensor Networks Based on WMN</title></titleInfo><name type="personal"><namePart type="given">Jeonghwan</namePart><namePart type="family">Hwang</namePart><affiliation>School of Information and Communication Engineering, Sunchon National University, Korea</affiliation><affiliation>E-mail: jhwang@sunchon.ac.kr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Hyun</namePart><namePart type="family">Yoe</namePart><affiliation>School of Information and Communication Engineering, Sunchon National University, Korea</affiliation><affiliation>E-mail: yhyun@sunchon.ac.kr</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">2010</dateIssued><copyrightDate encoding="w3cdtf">2010</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: The USN technology is one of the important technologies to implement the ubiquitous society, which has been used in applications of various fields, and in the agricultural sector, the value-added and productivity are increased by applying it to production management, distribution etc. as well as growing conditions. Particularly, in the greenhouse, the quality and productivity for crops are improved by monitoring and managing growth information for crops and environmental information etc. with the utilization of USN. However, the network topology is frequently changed since sensor nodes building a USN have limited energy resources, and it is not suitable to operate a network by construct a large-scale network through a network extension because packets could be lost during long-distance data transmission. This paper proposes a greenhouse monitoring system applying WMN technologies to a USN to solve problems mentioned above, and implements the system after analyzing the performance through a simulation. In the proposed system, a mesh coordinator is constructed on the data transmission path between sensor nodes and a gateway for monitoring greenhouse environment, and it could be found that this system has higher data transmission efficiency and energy efficiency than the system constructing with conventional USN.</abstract><relatedItem type="host"><titleInfo><title>Future Generation Information Technology</title><subTitle>Second International Conference, FGIT 2010, Jeju Island, Korea, December 13-15, 2010. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Tai-hoon</namePart><namePart type="family">Kim</namePart><affiliation>Hannam University, 133 Ojeong-dong, daeduk-gu, 306-791, Daejeon, South Korea</affiliation><affiliation>E-mail: taihoonn@hnu.kr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Young-hoon</namePart><namePart type="family">Lee</namePart><affiliation>Hannam University, Daejeon, South Korea</affiliation><affiliation>E-mail: yhnlee@sogang.ac.kr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Byeong-Ho</namePart><namePart type="family">Kang</namePart><affiliation>University of Tasmania, Hobart, Tasmania, Australia</affiliation><affiliation>E-mail: byeong.kang@utas.edu.au</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Dominik</namePart><namePart type="family">Ślęzak</namePart><affiliation>University of Warsaw & Infobright Inc.,, Poland</affiliation><affiliation>E-mail: slezak@infobright.com</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="book-series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2010</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="I13022">Computer Communication Networks</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I16021">Algorithm Analysis and Problem Complexity</topic><topic authority="SpringerSubjectCodes" authorityURI="I14029">Software Engineering</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic></subject><identifier type="DOI">10.1007/978-3-642-17569-5</identifier><identifier type="ISBN">978-3-642-17568-8</identifier><identifier type="eISBN">978-3-642-17569-5</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">215589</identifier><identifier type="BookID">978-3-642-17569-5</identifier><identifier type="BookChapterCount">74</identifier><identifier type="BookVolumeNumber">6485</identifier><identifier type="BookSequenceNumber">6485</identifier><identifier type="PartChapterCount">37</identifier><part><date>2010</date><detail type="part"><title>Security, Software Engineering, Communication and Networking</title></detail><detail type="volume"><number>6485</number><caption>vol.</caption></detail><extent unit="pages"><start>686</start><end>698</end></extent></part><recordInfo><recordOrigin>Springer Berlin Heidelberg, 2010</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><affiliation>Lancaster University, Lancaster, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, Stanford, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><affiliation>University of Bern, Bern, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><affiliation>Indian Institute of Technology, Madras, India</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><affiliation>University of Dortmund, Dortmund, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><affiliation>University of California, Los Angeles, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Doug</namePart><namePart type="family">Tygar</namePart><affiliation>University of California, Berkeley, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moshe</namePart><namePart type="given">Y.</namePart><namePart type="family">Vardi</namePart><affiliation>Rice University, Houston, TX, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Weikum</namePart><affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2010</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer Berlin Heidelberg, 2010</recordOrigin></recordInfo></relatedItem><identifier type="istex">6DF3575FBADCAE408812BDACBDDCC2EC776C024B</identifier><identifier type="DOI">10.1007/978-3-642-17569-5_68</identifier><identifier type="ChapterID">68</identifier><identifier type="ChapterID">Chap68</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer Berlin Heidelberg, 2010</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 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