An Improved Algorithm for Reducing False and Duplicate Readings in RFID Data Stream Based on an Adaptive Data Cleaning Scheme
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© - April Issue 2013 by IJCTT Journal|
|Volume-4 Issue-4 |
|Year of Publication : 2013|
|Authors :Neha Dhama ,Meghna Sharma|
Neha Dhama ,Meghna Sharma"An Improved Algorithm for Reducing False and Duplicate Readings in RFID Data Stream Based on an Adaptive Data Cleaning Scheme"International Journal of Computer Trends and Technology (IJCTT),V4(4):944-950 April Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: -RFID technology is increasing rapidly and being successfully applied to various sectors such as supply chain management, manufacturing, Retail, warehouses, wall-mart and health care applications. The data stream produced by RFID system is sometimes unreliable, inaccurate, low level. As a result, there is a heavy load of unreliable data which is useless for higher level application. Therefore, RFID data cleaning is the most important task for the successful deployment of RFID systems. Unreliable data appears in three forms of reading errors: false positive (unexpected), false negative (missed) and duplicate readings. Most common technique which is used by RFID middleware is the use of sliding window filters. In this paper, based on the individual tag reading environment, false readings and duplicate reading errors are reduced by a new adaptive data cleaning window scheme called WSTD. This technique is used along with some of the concepts of SMURF but with an improved transition detection mechanism as SMURF has some drawbacks. The result has been evaluated on RFID database. Also, comparison has been done with the existing approach i.e. SMURF. Simulation shows our approach deals with RFID data more accurately.
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Keywords — RFID, data cleaning, sliding window filtering, WSTD, SMURF, RFID middleware.