Efficient accelerometer-based event detector in wireless sensor networks

Jozsef Smidla, Gyula Simon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper an autocovariance-based event detector algorithm is proposed. The algorithm is able to detect events even if the measurements have poor signal-to-noise ratio, and its performance is independent of the characteristic of the input signal. An efficient implementation of the algorithm is also proposed, which allows the utilization of the algorithm on low-end devices, e.g. in wireless sensor networking nodes. The performance of the algorithm has been tested and compared to a conventional filter-based approach, in a vehicle detector application.

Original languageEnglish
Title of host publication2013 IEEE International Instrumentation and Measurement Technology Conference
Subtitle of host publicationInstrumentation and Measurement for Life, I2MTC 2013 - Proceedings
Pages732-736
Number of pages5
DOIs
Publication statusPublished - Aug 23 2013
Event2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Minneapolis, MN, United States
Duration: May 6 2013May 9 2013

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)1091-5281

Other

Other2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013
CountryUnited States
CityMinneapolis, MN
Period5/6/135/9/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Smidla, J., & Simon, G. (2013). Efficient accelerometer-based event detector in wireless sensor networks. In 2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Proceedings (pp. 732-736). [6555512] (Conference Record - IEEE Instrumentation and Measurement Technology Conference). https://doi.org/10.1109/I2MTC.2013.6555512