Asymptotic analysis of Schoute's estimate for dynamic frame Aloha

L. Barletta, F. Borgonovo, I. Filippini
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引用次数: 4

Abstract

This paper represents a further attempt to provide definite results about the asymptotic performance of protocols of the dynamic frame Aloha (DFA) family for radio frequency identification (RFID) systems. Here we deal with a simple and popular backlog estimate known as Schoute's estimate, apt to the DFA version that do not make use of the Frame Restart capability. This estimate performs very well in multiple access systems, but presents some efficiency impairment in RFID. Recent studies have shown that, with a perfect backlog estimate, the asymptotic efficiency of DFA, with or without Frame Restart, equals e-1. Here we prove that the asymptotic efficiency of Schoute's backlog estimate is 0.311 for any finite initial frame length. The analysis shows that the impairment is due to the slow convergence of the estimate to the true value, and opens the path to future work.
动态框架Aloha的Schoute估计的渐近分析
本文为射频识别(RFID)系统的动态框架Aloha (DFA)家族协议的渐近性能提供了进一步的尝试。这里我们处理一个简单而流行的积压估计,称为Schoute估计,它适用于不使用Frame Restart功能的DFA版本。该估计在多址系统中表现良好,但在RFID中存在一些效率损害。最近的研究表明,对于一个完美的积压估计,DFA的渐近效率,无论是否有帧重启,都等于e-1。本文证明了对于任意有限初始帧长,Schoute积压估计的渐近效率为0.311。分析表明,减值是由于估计值向真值收敛缓慢造成的,为今后的工作开辟了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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