Skip to main content
Erschienen in: Advances in Manufacturing 2/2014

01.06.2014

RFID unreliable data filtering by integrating adaptive sliding window and Euclidean distance

verfasst von: Li-Lan Liu, Zi-Long Yuan, Xue-Wei Liu, Cheng Chen, Ke-Sheng Wang

Erschienen in: Advances in Manufacturing | Ausgabe 2/2014

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Through improving the redundant data filtering of unreliable data filter for radio frequency identification (RFID) with sliding-window, a data filter which integrates self-adaptive sliding-window and Euclidean distance is proposed. The input data required being filtered have been shunt by considering a large number of redundant data existing in the unreliable data for RFID and the redundant data in RFID are the main filtering object with utilizing the filter based on Euclidean distance. The comparison between the results from the method proposed in this paper and previous research shows that it can improve the accuracy of the RFID for unreliable data filtering and largely reduce the redundant reading rate.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Mi ZQ (2011) Radio frequency identification (RFID) technology and application. Publishing House of Electronics Industry, Beijing Mi ZQ (2011) Radio frequency identification (RFID) technology and application. Publishing House of Electronics Industry, Beijing
2.
Zurück zum Zitat Xia XF, Xuan LJ (2011) RFID unreliable data cleaning strategy under shunting mechanism. Comp Sci 38(10A):22–25 Xia XF, Xuan LJ (2011) RFID unreliable data cleaning strategy under shunting mechanism. Comp Sci 38(10A):22–25
4.
Zurück zum Zitat Jeffery SR, Franklin MJ, Garofalakis MN (2008) An adaptive RFID middleware for supporting Me tap hysical data independence. Proc of Very Large Datebase, Auckland, New Zealand, pp 256–289 Jeffery SR, Franklin MJ, Garofalakis MN (2008) An adaptive RFID middleware for supporting Me tap hysical data independence. Proc of Very Large Datebase, Auckland, New Zealand, pp 256–289
5.
Zurück zum Zitat Chen HQ, Ku WS, Wang HX (2010) Sun minte leveraging spatio-temporal redundancy for RFID data cleansing. In: Proceedings of Special Interest Group on Management of Data, Indiana, USA, pp 51–62 Chen HQ, Ku WS, Wang HX (2010) Sun minte leveraging spatio-temporal redundancy for RFID data cleansing. In: Proceedings of Special Interest Group on Management of Data, Indiana, USA, pp 51–62
6.
Zurück zum Zitat Carbunar B, Ramanathan M, Koyuturk M et al (2005) Redundant reader elimination in RFID systems. In: The 2nd annual IEEE communications society conference on sensor and Ad Hoc communications and networks, 26–29 Sept 2005, pp 176–184 Carbunar B, Ramanathan M, Koyuturk M et al (2005) Redundant reader elimination in RFID systems. In: The 2nd annual IEEE communications society conference on sensor and Ad Hoc communications and networks, 26–29 Sept 2005, pp 176–184
7.
Zurück zum Zitat Jeffery SR, Alonso G, Franklin MJ et al (2006) A pipelined framework for online cleaning of sensor data streams. In: Proceedings of the 22nd International Conference on Data Engineering (ICDE), Atlanta, Georgia, USA, p 140 Jeffery SR, Alonso G, Franklin MJ et al (2006) A pipelined framework for online cleaning of sensor data streams. In: Proceedings of the 22nd International Conference on Data Engineering (ICDE), Atlanta, Georgia, USA, p 140
8.
Zurück zum Zitat Gu Y, Yu G, Zhang TC (2007) RFID complex event processing techniques. Front Comp Sci Technol 1(3):255–267 Gu Y, Yu G, Zhang TC (2007) RFID complex event processing techniques. Front Comp Sci Technol 1(3):255–267
9.
Zurück zum Zitat Jeffery SR, Garofalakis M, Franklin M (2006) Adaptive cleaning for RFID data streams. In: Proceedings of the 32nd international conference on very large data bases (VLDB), Seoul, Korea, pp 163–174 Jeffery SR, Garofalakis M, Franklin M (2006) Adaptive cleaning for RFID data streams. In: Proceedings of the 32nd international conference on very large data bases (VLDB), Seoul, Korea, pp 163–174
10.
Zurück zum Zitat Ma Y, Zhang YY (2009) Based on sliding window of RFID data stream tabbed cleaning algorithm. Sci Technol Eng 9(5):1165–1171 Ma Y, Zhang YY (2009) Based on sliding window of RFID data stream tabbed cleaning algorithm. Sci Technol Eng 9(5):1165–1171
11.
Zurück zum Zitat Jiu LY, Shan GQ (2013) An effective multi-RFID readers redundant data cleaning algorithm. J Northwest Polytech Univ 29(3):6470–6473 Jiu LY, Shan GQ (2013) An effective multi-RFID readers redundant data cleaning algorithm. J Northwest Polytech Univ 29(3):6470–6473
12.
Zurück zum Zitat Chen XH, Wang X (2013) An improved algorithm in redundant data cleaning based on RFID middleware. Microelectron Comp 30(7): 154–158 Chen XH, Wang X (2013) An improved algorithm in redundant data cleaning based on RFID middleware. Microelectron Comp 30(7): 154–158
13.
Zurück zum Zitat Chen H, Ku WS, Wang HX et al (2010) Leveraging spatio-temporal redundancy for RFID data cleansing. In: Proceedings of the 2010 ACM SIGMOD international conference on management of data SIGMOD, New York, USA, pp 51–62 Chen H, Ku WS, Wang HX et al (2010) Leveraging spatio-temporal redundancy for RFID data cleansing. In: Proceedings of the 2010 ACM SIGMOD international conference on management of data SIGMOD, New York, USA, pp 51–62
14.
Zurück zum Zitat Li X (2013) Research on RFID middleware data cleaning technology. Dissertation, Beijing Jiaotong University Li X (2013) Research on RFID middleware data cleaning technology. Dissertation, Beijing Jiaotong University
15.
Zurück zum Zitat Han JW, Kamber M (2011) Data mining concepts and techniques. Morgan Kaufmann Press, Boston Han JW, Kamber M (2011) Data mining concepts and techniques. Morgan Kaufmann Press, Boston
16.
Zurück zum Zitat Meng LY, Yu FQ (2010) RFID data cleaning based on adaptive window. In: Proceedings of the 2nd International Conference on Future Computer and Communication. Wuhan, China, pp 746–749 Meng LY, Yu FQ (2010) RFID data cleaning based on adaptive window. In: Proceedings of the 2nd International Conference on Future Computer and Communication. Wuhan, China, pp 746–749
17.
Zurück zum Zitat Eom KH, Lee SJ (2011) Improved Kalman filter method for measurement noise reduction in multi sensor RFID systems. Sensors, pp 10266–10282 Eom KH, Lee SJ (2011) Improved Kalman filter method for measurement noise reduction in multi sensor RFID systems. Sensors, pp 10266–10282
18.
Zurück zum Zitat Ning HS (2012) RFID major projects and national IOT. China Machinery Industry Press, Beijing Ning HS (2012) RFID major projects and national IOT. China Machinery Industry Press, Beijing
19.
Zurück zum Zitat Chen L (2013) RFID middleware research data cleaning methods. Dissertation, Wuhan University of Technology Chen L (2013) RFID middleware research data cleaning methods. Dissertation, Wuhan University of Technology
20.
Zurück zum Zitat Shilei LV, Yu ZS (2012) A kind of RFID system based on middleware reader to redundancy algorithm. Electron J 40(5):965–970 Shilei LV, Yu ZS (2012) A kind of RFID system based on middleware reader to redundancy algorithm. Electron J 40(5):965–970
Metadaten
Titel
RFID unreliable data filtering by integrating adaptive sliding window and Euclidean distance
verfasst von
Li-Lan Liu
Zi-Long Yuan
Xue-Wei Liu
Cheng Chen
Ke-Sheng Wang
Publikationsdatum
01.06.2014
Verlag
Shanghai University
Erschienen in
Advances in Manufacturing / Ausgabe 2/2014
Print ISSN: 2095-3127
Elektronische ISSN: 2195-3597
DOI
https://doi.org/10.1007/s40436-014-0080-3

Weitere Artikel der Ausgabe 2/2014

Advances in Manufacturing 2/2014 Zur Ausgabe

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.