Abstract
Radio Frequency IDentification (RFID) is a wireless communication technology, that suffers from a recurring issue and one of the most important challenges of RFID networks: Collision between readers that occurs when a several readers are placed very closely to each other, thus decreasing efficiency of RFID systems. In literature, many anti-collision protocols have been proposed to reduce reader collisions. In this paper we present a review of the best performing anti-collision protocols for RFID collision avoidance which are Geometry Distribution Reader Anti-collision (GDRA), Distance based RFID reader Collision Avoidance protocol (DRCA), Beacon Analysis based Collision Prevention (BACP), Distributed Efficient & Fair Anti-collision for RFID (DEFAR). This study is on the performance of these protocols in a dense RFID environment, advantages and disadvantages of each protocols in a static deployment where readers are immobile using MATLAB.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Mbacke, A., Mitton, N., Rivano, H.: RFID reader anticollision protocols for dense and mobile deployments. Electronics 5(4), 84 (2016). https://doi.org/10.3390/electronics5040084
Mohammed, A., Wang, Q., Li, X.: A study in integrity of an RFID-monitoring HMSC. Int. J. Food Prop. 20(5), 1145–1158 (2016). https://doi.org/10.1080/10942912.2016.1203933
Ramudzuli, Z.R., Malekian, R., Ye, N.: Design of a RFID system for real-time tracking of laboratory animals. Wirel. Pers. Commun. 95(4), 3883–3903 (2017). https://doi.org/10.1007/s11277-017-4030-9
Najera, P., Lopez, J., Roman, R.: Real-time location and inpatient care systems based on passive RFID. J. Netw. Comput. Appl. 34(3), 980–989 (2011). https://doi.org/10.1016/j.jnca.2010.04.011
Rouan, E., Safi, S., Boumezzough, A.: An automated parking access control system based on RFID technology. In: 2020 15th Design & Technology of Integrated Systems in Nanoscale Era (DTIS), April 2020. https://doi.org/10.1109/dtis48698.2020.9080913
Mitton, N., Mbacke, A.A., Rivano, H.: Distributed efficient & fair anticollision for RFID protocol. In: 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), October 2016. https://doi.org/10.1109/wimob.2016.7763249
Bueno-Delgado, M.V., Ferrero, R., Gandino, F., Pavon-Marino, P., Rebaudengo, M.: A geometric distribution reader anti-collision protocol for RFID dense reader environments. IEEE Trans. Autom. Sci. Eng. 10(2), 296–306 (2013). https://doi.org/10.1109/tase.2012.2218101
Mbacké, A.: Collecte et remontée multi-sauts de données issues de lecteurs RFID pour la surveillance d’infrastructures urbaines, Thesis defended on 18 October (2018)
Ferrero, R.: Network Modeling and Interference Analysis in Pervasive Technology, Thesis defended (2012)
Golsorkhtabaramiri, M., Issazadehkojidi, N.: A distance based RFID reader collision avoidance protocol for dense reader environments. Wirel. Pers. Commun. 95(2), 1781–1798 (2017). https://doi.org/10.1007/s11277-016-3918-0
Assarian, A., Khademzadeh, A., HosseinZadeh, M., Setayeshi, S.: A beacon analysis-based RFID reader anti-collision protocol for dense reader environments. Comput. Commun. 128, 18–34 (2018). https://doi.org/10.1016/j.comcom.2018.06.006
Mbacke, A.A., Mitton, N., Rivano, H.: RFID anticollision in dense mobile environments. In: 2017 IEEE Wireless Communications and Networking Conference (WCNC), March 2017. https://doi.org/10.1109/wcnc.2017.7925493
Gandino, F., Ferrero, R., Montrucchio, B., Rebaudengo, M.: Evaluation Criteria for Reader-to-Reader Anti-collision Protocols, Technical Report n. 01–2011-UC
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Rouan, E.h., Safi, S., Boumezzough, A. (2021). Comparative Study Between RFID Readers Anti-collision Protocols in Dense Environments. In: Fakir, M., Baslam, M., El Ayachi, R. (eds) Business Intelligence. CBI 2021. Lecture Notes in Business Information Processing, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-030-76508-8_23
Download citation
DOI: https://doi.org/10.1007/978-3-030-76508-8_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-76507-1
Online ISBN: 978-3-030-76508-8
eBook Packages: Computer ScienceComputer Science (R0)