vsmurf: a novel sliding window cleaning algorithm for rfid networks

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ID: 193446
2017
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Ranked #127 of 205 articles by views in BMC infectious diseases

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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.
Reference Key
xu2017journalvsmurf: Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;He Xu;Weiwei Shen;Peng Li;Daniele Sgandurra;Ruchuan Wang
Journal BMC infectious diseases
Year 2017
DOI
10.1155/2017/3186482
URL
http://dx.doi.org/10.1155/2017/3186482
Keywords
Technology (General)

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