Asymptotic effectiveness of the event-based sampling according to the integral criterion
Asymptotic effectiveness of the event-based sampling according to the integral criterion
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DOI：
10.3390/s7010016
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发表时间：
2007-01-01
期刊：
影响因子：
3.9
通讯作者：
Miskowicz, Marek
中科院分区：
文献类型：
--
作者：
Miskowicz, Marek
智能传感技术的快速进步对开发非规定抽样方案的分析和设计产生了新的兴趣。本文介绍了根据积分标准对基于事件的采样的调查。研究的采样方案是用于报告由智能传感器监视的对象状态的纯线性发送/级别划线算法的扩展。概述了使用基于事件的积分采样的动机。总结了自适应抽样中的相关作品。得出了用于评估基于事件流量的平均速率以及渐近积分抽样效果的分析闭合格式。报告了验证分析公式的仿真结果。比较积分抽样的有效性与相关的线性发送/级别划线方案进行了比较。例证了通用信号的渐近有效性的计算，这些信号的逐渐发展为模拟动态系统的状态演变。
A rapid progress in intelligent sensing technology creates new interest in a development of analysis and design of non-conventional sampling schemes. The investigation of the event-based sampling according to the integral criterion is presented in this paper. The investigated sampling scheme is an extension of the pure linear send-on-delta/level-crossing algorithm utilized for reporting the state of objects monitored by intelligent sensors. The motivation of using the event-based integral sampling is outlined. The related works in adaptive sampling are summarized. The analytical closed-form formulas for the evaluation of the mean rate of event-based traffic, and the asymptotic integral sampling effectiveness, are derived. The simulation results verifying the analytical formulas are reported. The effectiveness of the integral sampling is compared with the related linear send-on-delta/level-crossing scheme. The calculation of the asymptotic effectiveness for common signals, which model the state evolution of dynamic systems in time, is exemplified.