Cluster Based Mechanism for Avoidance of Duplicate Tag Data in RFID Networks
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-8660-1_39
Reference15 articles.
1. Bashir, A.K., Lim, S.-J., Hussain, C.S., Park, M.-S.: Energy efficient in-network RFID data filtering scheme in wireless sensor networks. Sensors 11, 7004–7021 (2011). https://doi.org/10.3390/s110707004
2. Ferreira Chaves, L.W., Buchmann, E., Böhm, K.: Finding misplaced items in retail by clustering RFID data. https://openproceedings.org/2010/conf/edbt/ChavesBB10.pdf
3. Wu, Y., Shen, H., Sheng, Q.Z.: A cloud-friendly RFID trajectory clustering algorithm in uncertain environments. IEEE Trans. Parallel Distrib. Syst. 26(8), 2075–2088 (2015)
4. Tanbo, M., Nojiri, R., Kawakita, Y., Ichikawa, H.: Active RFID attached object clustering method with new evaluation criterion for finding lost objects. Mob. Inf. Syst. 2017 (2017). Article ID 3637814
5. Soltani, M.M., Motamedi, A., Hammad, A.: Enhancing cluster-based RFID tag localization using artificial neural networks and virtual reference tags. Autom. Constr. 54, 93–105 (2015). Elsevier
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