An adaptive data cleaning scheme for reducing false negative reads in RFID data streams

2012 IEEE International Conference on RFID, RFID 2012

Volumn , Issue , 2012, Pages 157-164

  Massawe, Libe Valentine ^a   Vermaak, Herman ^a   Kinyua, Johnson D M ^b  

^a CENTRAL UNIVERSITY OF TECHNOLOGY   (South Africa)

^b University of Northern Virginia   (United States)

Author keywords

data cleaning; data filtering; RFID; RFID Middleware; sliding window filter; SMURF; WSTD

Indexed keywords

DATA CLEANING; DATA FILTERING; RFID MIDDLEWARE; SLIDING WINDOW; SMURF; WSTD;

DATA COMMUNICATION SYSTEMS; MIDDLEWARE; RADIO FREQUENCY IDENTIFICATION (RFID); RADIO NAVIGATION;

CLEANING;

EID: 84862083474     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RFID.2012.6193044     Document Type: Conference Paper

References (19)

1. K. Ahsan, H. Shah and P. Kingston, "RFID applications: An introductory and exploratory study," IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 1, No. 3, January 2010.
2. A. Mitrokotsa, C. Douligeris, "Integrated RFID and sensor networks: Architectures and applications," Y. Zhang, L.T. Yang, J. Chen, Eds. RFID and Sensor Networks, CRC Press, 2009, pp.511-535.
3. EPCglobal Inc. EPC Radio Frequency Identification protocols class-1 generation-2 UHF RFID protocol for communications at 860mhz- 960mhz, Standard Specification version 1.2.0.
4. M. Bolić, A. Athalye, and T. Hao Li. Performance of Passive UHF RFID Systems in Practice. In Book RFID Systems: Research Trends and Challenges. Editors M. Boli'c, D. Simplot-Ryl and I. Stojmenović. John Wiley & Sons Ltd, 2010.
5. M. Buettner and D. Wetherall. "An empirical study of UHF RFID systems," in MobiCom'08, San Francisco, California, USA, 2008.
6. S. Aroor and D. Deavours. "Evaluation of the state of passive uhf rfid: An experimental approach," in IEEE Systems Journal, volume 1, 2007 pp.168-176.
7. Y. Kawakita and J. Mitsugi, "Anti-collision performance of Gen2 Air Protocol in Random error Communication Link," in Proceedings of the International Symposium on Applications and Internet Workshops (SAINT'06), 2006, pp.68-71.
8. S.R. Jeffery, M. Garofalakis, and M.J. Franklin, "Adaptive cleaning for RFID data streams," Proceedings of the 32nd international conference on Very large data bases, VLDB Endowment, 2006, pp 163-174.
9. th ITNG conference, 2009, pp.1042-1048.
10. P. Darcy, B. Stantic and A. Sattar, "A Fusion of Data Analysis and NonMonotonic Reasoning to Restore Missed RFID Readings," in Proceedings of Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2009), 2009, pp.313-318.
11. M. S. Trotter and G. D. Durgin, "Survey of Range Improvement of Commercial RFID Tags with Power Optimized Waveforms," in IEEE International Conference on RFID, April 2010, 195-202.
12. A. Rahmati, L. Zhong, M. Hiltunen, and R. Jana, "Reliability Techniques for RFID-Based Object Tracking Applications," in Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN '07). IEEE Computer Society, 2007, pp.113-118.
13. H. Chen, W. Ku, H. Wang and M. Sun, "Leveraging spatio-temporal redundancy for RFID data cleansing," In Proceedings of the 2010 international conference on Management of data, SIGMOD '10, 2010
14. H. Gonzalez, J. Han, and X. Shen, "Cost-conscious cleaning of massive RFID data sets," in Proc. 2007 Int. Conf. on Data Engineering (ICDE'06), Istanbul, Turkey, April 2007.
15. B. Song, P. Qin, H. Wang, W. Xuan, G. Yu, "bSpace: A data cleaning approach for RFID data streams based on virtual spatial granularity," in Proceedings of HIS (3), 2009, pp.252-256.
16. J. Rao, S. Doraiswamy, H. Thakkar and L. S. Colby, "A Deferred Cleansing Method for RFID Data Analytics," in VLDB, 2006.
17. A. Gupta and M. Srivastava, "Developing Auto-ID solutions using Sun Java system RFID software," Oct 2004.
18. C. Bornhoevd, T. Lin, S. Haller, and J. Schaper, "Integrating automatic data acquisition with business processes - Experiences with SAP's Auto-ID infrastructure," presented at 30th international conference on very large data bases (VLDB), Toronto, Canada, 2004.
19. S. L. Lohr. Sampling: Design and analysis. New York: Duxbury Press (1999).