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Sensors 2007, 7(1), 16-37; doi:10.3390/s7010016

Asymptotic Effectiveness of the Event-Based Sampling According to the Integral Criterion

AGH University of Science and Technology, Department of Electronics, al. Mickiewicza 30, 30-059 Kraków, Poland
Received: 10 August 2006 / Accepted: 5 January 2007 / Published: 6 January 2007
(This article belongs to the Special Issue Intelligent Sensors)
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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.
Keywords: data acquisition; signal sampling; sampling methods; sampled-data systems. data acquisition; signal sampling; sampling methods; sampled-data systems.
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Miskowicz, M. Asymptotic Effectiveness of the Event-Based Sampling According to the Integral Criterion. Sensors 2007, 7, 16-37.

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