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Journal of Sensors
Volume 2017, Article ID 3186482, 11 pages
https://doi.org/10.1155/2017/3186482
Research Article

VSMURF: A Novel Sliding Window Cleaning Algorithm for RFID Networks

1School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
2Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China
3Information Security Group, Royal Holloway, University of London, Surrey TW200EX, UK

Correspondence should be addressed to He Xu; nc.ude.tpujn@ehux

Received 9 February 2017; Revised 24 May 2017; Accepted 22 June 2017; Published 27 July 2017

Academic Editor: Nashwa El-Bendary

Copyright © 2017 He Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Radio Frequency Identification (RFID) is one of the key technologies of the Internet of Things (IoT) and is used in many areas, such as mobile payments, public transportation, smart lock, and environment protection. However, the performance of RFID equipment can be easily affected by the surrounding environment, such as electronic productions and metal appliances. These can impose an impact on the RF signal, which makes the collection of RFID data unreliable. Usually, the unreliability of RFID source data includes three aspects: false negatives, false positives, and dirty data. False negatives are the key problem, as the probability of false positives and dirty data occurrence is relatively small. This paper proposes a novel sliding window cleaning algorithm called VSMURF, which is based on the traditional SMURF algorithm which combines the dynamic change of tags and the value analysis of confidence. Experimental results show that VSMURF algorithm performs better in most conditions and when the tag’s speed is low or high. In particular, if the velocity parameter is set to 2 m/epoch, our proposed VSMURF algorithm performs better than SMURF. The results also show that VSMURF algorithm has better performance than other algorithms in solving the problem of false negatives for RFID networks.