An approach to filtering duplicate RFID data streams
In a system where distributed network of Radio Frequency Identification (RFID) readers are used to collaboratively collect data from tagged objects, a scheme that detects and eliminates redundant data streams is required. To address this problem, we propose an approach that is based on Bloom...
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| Main Authors: | , |
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| Format: | Book Section |
| Language: | English |
| Published: |
Springer
2010
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/7854/1/P8936_b349548e75bee71eb261fba2b10f9e67.pdf http://eprints.uthm.edu.my/7854/ |
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| Institution: | Universiti Tun Hussein Onn Malaysia |
| Language: | English |
| Summary: | In a system where distributed network of Radio Frequency
Identification (RFID) readers are used to collaboratively collect data from
tagged objects, a scheme that detects and eliminates redundant data streams is
required. To address this problem, we propose an approach that is based on
Bloom filter to detect duplicate readings and filter redundant RFID data
streams. We have evaluated the performance of the proposed approach and
compared it with existing approaches. The experimental results demonstrate
that the proposed approach provides superior performance as compared to the
baseline approaches. |
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