基于动态马尔可夫链和双时间尺度SPSA的RFID低成本目标识别

Shweta Singh
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引用次数: 4

摘要

本文的重点是如何在完全成熟的RFID模型不具有成本效益的情况下降低RFID系统的成本。当我们更关心将这种技术用作简单的身份信息收集器,并以最小的中断将其嵌入到现有的it系统中时,低成本方法的问题就出现了。我们提出的方案是一种增强的防碰撞方案,不仅声称而且证明了采用这种设计的通信模型可以降低RFID标签碰撞所涉及的成本并提高吞吐量。该模型基本上是开槽aloha和双时间尺度SPSA的组合。最后对所设计的模型进行了程序模拟,得到了数学结果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low cost object identification in RFID via dynamic Markov chain & two time scale SPSA
The focus of this paper is to reduce the cost of RFID systems when the full blown model of RFID is not cost effective. The question of low cost approach comes into picture when we are more concerned with using this technique as a simple identity information collector, and embedding it into the existing IT system with minimum disruption. Our proposed scheme is an enhanced anti-collision scheme which not only claims but also proves that cost involved in RFID tag collision can be reduced and also the throughput can be increased by adopting the so designed model of communication. The model is basically the combination of slotted aloha and two time scale SPSA. Finally the mathematical results have been obtained by pro grammatically simulating the above designed model
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