Generalized Handling of User-Specific Data in Networked RFID
Identifieur interne : 001729 ( Main/Exploration ); précédent : 001728; suivant : 001730Generalized Handling of User-Specific Data in Networked RFID
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Abstract
Abstract: As RFID technology has been widely adopted, it has been acknowledged that user-specific data carrying RFID tags can be conveniently used. Since the typical user-specific data is sensor data, some existing studies have proposed new RFID architectures for sensor data handling. However, there are industrial demands to include non-sensor data, such as sales records, repair history, etc., as well as sensor data in the purview of our study. To realize handling of such general user-specific data, we need to satisfy requirements such as the minimum set of data semantics required to access the user-specific data, flexible user-specific data memory schema determination and partial collection of user-specific data. For this purpose, we designed the role of “session manager”, which communicates with associate applications and notifies an interrogator what to do upon retrieval of a unique identification number. The session manager with the structured user-specific data can provide flexible collection and processing of user-specific data in the networked RFID. Since the fundamental drawback of the session manager might be the lookup overhead, we examined the overhead with a simulation based on experimental data. It was revealed that the overhead is equivalent to and in some cases even better than that of the existing method, which relies on structural tag memory.
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DOI: 10.1007/978-3-540-78731-0_11
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Generalized Handling of User-Specific Data in Networked RFID</title><author><name sortKey="Osaka, Kosuke" uniqKey="Osaka K">Kosuke Osaka</name><affiliation><mods:affiliation>Graduate School of Media and Governance, Keio University</mods:affiliation><wicri:noCountry code="subField">Keio University</wicri:noCountry></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: osaka@sfc.wide.ad.jp</mods:affiliation><country wicri:rule="url">Japon</country></affiliation></author><author><name sortKey="Mitsugi, Jin" uniqKey="Mitsugi J">Jin Mitsugi</name><affiliation><mods:affiliation>Graduate School of Media and Governance, Keio University</mods:affiliation><wicri:noCountry code="subField">Keio University</wicri:noCountry></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: mitsugi@sfc.wide.ad.jp</mods:affiliation><country wicri:rule="url">Japon</country></affiliation></author><author><name sortKey="Nakamura, Osamu" uniqKey="Nakamura O">Osamu Nakamura</name><affiliation wicri:level="1"><mods:affiliation>Department of Environment and Information studies, Keio University, 5322 Endo, Fujisawa, Kanagawa, 252-8520, Japan</mods:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of Environment and Information studies, Keio University, 5322 Endo, Fujisawa, Kanagawa, 252-8520</wicri:regionArea><wicri:noRegion>252-8520</wicri:noRegion></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: osamu@sfc.wide.ad.jp</mods:affiliation><country wicri:rule="url">Japon</country></affiliation></author><author><name sortKey="Murai, Jun" uniqKey="Murai J">Jun Murai</name><affiliation wicri:level="1"><mods:affiliation>Department of Environment and Information studies, Keio University, 5322 Endo, Fujisawa, Kanagawa, 252-8520, Japan</mods:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of Environment and Information studies, Keio University, 5322 Endo, Fujisawa, Kanagawa, 252-8520</wicri:regionArea><wicri:noRegion>252-8520</wicri:noRegion></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: jun@sfc.wide.ad.jp</mods:affiliation><country wicri:rule="url">Japon</country></affiliation></author></titleStmt><publicationStmt><idno type="RBID">ISTEX:BF0AA102FC255E3BEE61CD99CC82342AF69955B2</idno><date when="2008">2008</date><idno type="doi">10.1007/978-3-540-78731-0_11</idno><idno type="url">https://api.istex.fr/document/BF0AA102FC255E3BEE61CD99CC82342AF69955B2/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">002701</idno><idno type="wicri:Area/Istex/Curation">002701</idno><idno type="wicri:Area/Istex/Checkpoint">001533</idno><idno type="MainMerge">001533</idno><idno type="wicri:Area/Main/Merge">001729</idno></publicationStmt><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Battery Assisted Passive tag (BAP)</term><term>Data semantic resolving</term><term>RFID middleware</term><term>Sensor tag</term><term>Tag memory schema resolving</term><term>User data collection performance</term><term>User data handling</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="eng">Abstract: As RFID technology has been widely adopted, it has been acknowledged that user-specific data carrying RFID tags can be conveniently used. Since the typical user-specific data is sensor data, some existing studies have proposed new RFID architectures for sensor data handling. However, there are industrial demands to include non-sensor data, such as sales records, repair history, etc., as well as sensor data in the purview of our study. To realize handling of such general user-specific data, we need to satisfy requirements such as the minimum set of data semantics required to access the user-specific data, flexible user-specific data memory schema determination and partial collection of user-specific data. For this purpose, we designed the role of “session manager”, which communicates with associate applications and notifies an interrogator what to do upon retrieval of a unique identification number. The session manager with the structured user-specific data can provide flexible collection and processing of user-specific data in the networked RFID. Since the fundamental drawback of the session manager might be the lookup overhead, we examined the overhead with a simulation based on experimental data. It was revealed that the overhead is equivalent to and in some cases even better than that of the existing method, which relies on structural tag memory.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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