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A Multi-channel Based Reader Anti-collision Protocol for Dense RFID Environments

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IoT as a Service (IoTaaS 2018)

Abstract

With the recent developments in Internet of things, RFID is getting more and more attention. In the dense RFID environment, reader collision occurs when some readers potentially interfere with the operation of others, and cannot correctly communicate with tags, which will limit the performance of RFID system. As we know, the tag collision has been widely discussed, but the reader collision has not received as much attention in the past few years. In this paper, we propose a novel multi-channel based reader anti-collision protocol (MRAP), which is suitable for dense RFID environments, to solve the reader collision problem. Based on the connected matrix and the distance between any two readers, we design the principle to confirm channel and communication timeslot for each reader. Using multi-channel, a new communication process is generated, in which the irrelevant readers can communicate with tags simultaneously, even in the same channel. The simulation and performance analysis results show that our protocol can achieve better performances than previous protocols in enhancing system throughput and system efficiency.

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Acknowledgement

This work was supported in part by the National Natural Science Foundation of China (61571370, 61601365, and 61801388), in part by the Fundamental Research Funds for the Central Universities (3102017OQD091 and 3102017GX08003), in part by the China Postdoctoral Science Foundation (BX20180262), and in part by the Seed Foundation of Innovation and Creation for Graduate Students in NWPU (Grant no. ZZ2018129).

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Correspondence to Yi Jiang .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Jiang, Y., Cheng, W., He, Y., Pan, S. (2019). A Multi-channel Based Reader Anti-collision Protocol for Dense RFID Environments. In: Li, B., Yang, M., Yuan, H., Yan, Z. (eds) IoT as a Service. IoTaaS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-14657-3_39

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  • DOI: https://doi.org/10.1007/978-3-030-14657-3_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14656-6

  • Online ISBN: 978-3-030-14657-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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