Filtering redundant data from RFID data streams
Radio Frequency Identification (RFID) enabled systems are evolving in many applications that need to know the physical location of objects such as supply chain management. Naturally, RFID systems create large volumes of duplicate data. As the duplicate data wastes communication, processing, and stor...
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| Format: | Article |
| Language: | en |
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Hindawi Publishing Corporation
2015
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| Online Access: | http://eprints.uthm.edu.my/4822/1/AJ%202015%20%2831%29.pdf http://eprints.uthm.edu.my/4822/ https://doi.org/10.1155/2016/7107914 |
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| _version_ | 1833417696779173888 |
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| author | Kamaludin, Hazalila Mahdin, Hairulnizam H. Abawajy, Jemal |
| author_facet | Kamaludin, Hazalila Mahdin, Hairulnizam H. Abawajy, Jemal |
| author_sort | Kamaludin, Hazalila |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Radio Frequency Identification (RFID) enabled systems are evolving in many applications that need to know the physical location of objects such as supply chain management. Naturally, RFID systems create large volumes of duplicate data. As the duplicate data wastes communication, processing, and storage resources as well as delaying decision-making, filtering duplicate data from RFID data stream is an important and challenging problem. Existing Bloom Filter-based approaches for filtering duplicate RFID data streams are complex and slow as they use multiple hash functions. In this paper, we propose an approach for filtering duplicate data from RFID data streams. The proposed approach is based on modified Bloom Filter and uses only a single hash function. We performed extensive empirical study of the proposed approach and compared it against the Bloom Filter, d-Left Time Bloom Filter, and the Count Bloom Filter approaches. The results show that the proposed approach outperforms the baseline approaches in terms of false positive rate, execution time, and true positive rate. |
| format | Article |
| id | my.uthm.eprints-4822 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2015 |
| publisher | Hindawi Publishing Corporation |
| record_format | eprints |
| spelling | my.uthm.eprints-48222021-12-20T03:51:28Z http://eprints.uthm.edu.my/4822/ Filtering redundant data from RFID data streams Kamaludin, Hazalila Mahdin, Hairulnizam H. Abawajy, Jemal T Technology (General) TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Radio Frequency Identification (RFID) enabled systems are evolving in many applications that need to know the physical location of objects such as supply chain management. Naturally, RFID systems create large volumes of duplicate data. As the duplicate data wastes communication, processing, and storage resources as well as delaying decision-making, filtering duplicate data from RFID data stream is an important and challenging problem. Existing Bloom Filter-based approaches for filtering duplicate RFID data streams are complex and slow as they use multiple hash functions. In this paper, we propose an approach for filtering duplicate data from RFID data streams. The proposed approach is based on modified Bloom Filter and uses only a single hash function. We performed extensive empirical study of the proposed approach and compared it against the Bloom Filter, d-Left Time Bloom Filter, and the Count Bloom Filter approaches. The results show that the proposed approach outperforms the baseline approaches in terms of false positive rate, execution time, and true positive rate. Hindawi Publishing Corporation 2015 Article PeerReviewed text en http://eprints.uthm.edu.my/4822/1/AJ%202015%20%2831%29.pdf Kamaludin, Hazalila and Mahdin, Hairulnizam and H. Abawajy, Jemal (2015) Filtering redundant data from RFID data streams. Journal of Sensors, 11 (1). pp. 1-7. ISSN 1687725X https://doi.org/10.1155/2016/7107914 |
| spellingShingle | T Technology (General) TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Kamaludin, Hazalila Mahdin, Hairulnizam H. Abawajy, Jemal Filtering redundant data from RFID data streams |
| title | Filtering redundant data from RFID data streams |
| title_full | Filtering redundant data from RFID data streams |
| title_fullStr | Filtering redundant data from RFID data streams |
| title_full_unstemmed | Filtering redundant data from RFID data streams |
| title_short | Filtering redundant data from RFID data streams |
| title_sort | filtering redundant data from rfid data streams |
| topic | T Technology (General) TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television |
| url | http://eprints.uthm.edu.my/4822/1/AJ%202015%20%2831%29.pdf http://eprints.uthm.edu.my/4822/ https://doi.org/10.1155/2016/7107914 |
| url_provider | http://eprints.uthm.edu.my/ |