Abstract
In the passive RFID system, the backscatter powers of tags are affected by the path loss and cause the capture effect. The capture effect makes some tags hidden and reduces the efficiency of identification. In this paper, an improved anti-collision algorithm capture effect tags optimization grouping (CEOG) is presented. The novel algorithm analysis the captures effects of RFID, then adopts Chebyshev estimation and group the capture effect optimization tags. By the theory and simulations, the CEOG make the system throughput exceed 60 %.
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Xu, C., Lu, D. (2016). Research on the Capture Effect for RFID Tag Anti-Collision Algorithm. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_24
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DOI: https://doi.org/10.1007/978-3-662-49155-3_24
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