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Interference Cancellation-based RFID Tags Identification

机译:基于干扰消除的RFID标签识别

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摘要

In this paper we investigate interference cancellation to faster identify tags in RFID networks. We explore how interference cancellation can be applied to ALOHA and tree-based identification schemes, its limitations, the extent of achievable improvements, and the overhead incurred to obtain effective gains. Analytical and simulation results show that for an ALOHA-based scheme interference cancellation allows us to identify nearly 23% of tags without directly interrogating them. This speeds up tag identification (over 20% faster) while producing little overhead. For a tree-based scheme nearly 50% of the tags are identified by exploiting interference cancellation, resulting in an improvement of the identification rate of over 20%>. Finally, we propose an enhancement of the tree-based scheme with interference cancellation that achieves a further identification speed up of 50%.
机译:在本文中,我们研究了干扰消除技术,以更快地识别RFID网络中的标签。我们探索如何将干扰消除技术应用于ALOHA和基于树的识别方案,其局限性,可实现的改进程度以及为获得有效收益而产生的开销。分析和仿真结果表明,对于基于ALOHA的方案,干扰消除使我们能够识别接近23%的标签,而无需直接对其进行询问。这样可加快标签识别速度(速度提高20%以上),而产生的开销却很少。对于基于树的方案,通过利用干扰消除来识别将近50%的标签,从而使识别率提高了20%以上。最后,我们提出了一种基于树的方案的增强方案,具有干扰消除功能,可以将识别速度进一步提高50%。

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