Decentralized vs. centralized scheduling in wireless sensor networks for data fusion

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Abstract

We consider the problem of data estimation in a sensor wireless network where sensors transmit their observations according to decentralized and centralized transmission schedules. A data collector is interested in achieving a data estimation using several sensor observations such that the variance of the estimation is below a targeted threshold. We analyze the waiting time for a collector to receive sufficient sensor observations. We show that, for sufficiently large sensor sets, the decentralized schedule results in a waiting time that is a constant factor approximation of the waiting time under the optimal centralized scheme.
Original languageUndefined
Title of host publicationIEEE International Conference on Acoustic, Speech and Signal Processing, ICASSP 2014
Place of PublicationLos Alamitos, CA, USA
PublisherIEEE
Pages5070-5074
Number of pages5
ISBN (Print)978-1-4799-2893-4
DOIs
Publication statusPublished - 2014
EventIEEE International Conference on Acoustic, Speech and Signal Processing, ICASSP 2014 - Fortezza dal Basso, Florence, Italy
Duration: 4 May 20149 May 2014
http://www.icassp2014.org/home.html

Publication series

Name
PublisherIEEE

Conference

ConferenceIEEE International Conference on Acoustic, Speech and Signal Processing, ICASSP 2014
Abbreviated titleICASSP
CountryItaly
CityFlorence
Period4/05/149/05/14
Internet address

Keywords

  • EWI-25113
  • Scheduling
  • Waiting time
  • IR-92206
  • Wireless Sensor Network
  • METIS-306044
  • Data Fusion

Cite this

Mitici, M. A., Goseling, J., de Graaf, M., & Boucherie, R. J. (2014). Decentralized vs. centralized scheduling in wireless sensor networks for data fusion. In IEEE International Conference on Acoustic, Speech and Signal Processing, ICASSP 2014 (pp. 5070-5074). Los Alamitos, CA, USA: IEEE. https://doi.org/10.1109/ICASSP.2014.6854568