Interpolation for gas source detection using parameter estimation in a sensor network

Shinichiro Tokumoto, Toru Namerikawa

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

1 Citation (Scopus)

Abstract

The purpose of this research is to detect a person with a sensor network that uses CO2 sensors and to guide a rescue robot to the position at which the person is located. When a person is in a position where sensors are arranged, that person can be detected, but when a person is in a position where sensors are not arranged, detection cannot be performed. Therefore, in this paper, we propose interpolating CO2 concentrations between sensors so that detection of a person can be performed in regions where sensors are not arranged. First, the wind speed required for gas concentration interpolation is estimated from the observed sensor values. Then, the algorithm for interpolating the CO2 concentration between sensors using the estimated wind speed is shown. Finally, the validity of the proposed method is verified by simulation.

Original languageEnglish
Title of host publication2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4158-4163
Number of pages6
ISBN (Print)9781467357173
DOIs
Publication statusPublished - 2013 Jan 1
Event52nd IEEE Conference on Decision and Control, CDC 2013 - Florence, Italy
Duration: 2013 Dec 102013 Dec 13

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other52nd IEEE Conference on Decision and Control, CDC 2013
CountryItaly
CityFlorence
Period13/12/1013/12/13

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

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  • Cite this

    Tokumoto, S., & Namerikawa, T. (2013). Interpolation for gas source detection using parameter estimation in a sensor network. In 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013 (pp. 4158-4163). [6760527] (Proceedings of the IEEE Conference on Decision and Control). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2013.6760527