Temporally staggered sensing for field estimation with quantized data in wireless sensor networks

Sijia Liu, Engin Masazade, Pramod K. Varshney

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

6 Scopus citations

Abstract

In this paper, we present an optimal sensor staggering strategy to estimate a spatially and temporally varying field using quantized sensor data in wireless sensor networks. In order to predict the field intensity at a particular field point of interest, we first extend ordinary kriging to the case of quantized sensor data. Then, we derive the Average Quantized Kriging Error Variance (AQKEV) of the field as a performance metric which is then numerically minimized to find each sensors optimal sampling instant. Simulation results show that, the proposed sensor staggering strategy which is a function of the temporal correlation of the field yields better AQKEV as compared to the non-staggered and uniformly staggered strategies.

Original languageEnglish (US)
Title of host publication2012 IEEE Statistical Signal Processing Workshop, SSP 2012
Pages512-515
Number of pages4
DOIs
StatePublished - Nov 6 2012
Event2012 IEEE Statistical Signal Processing Workshop, SSP 2012 - Ann Arbor, MI, United States
Duration: Aug 5 2012Aug 8 2012

Publication series

Name2012 IEEE Statistical Signal Processing Workshop, SSP 2012

Other

Other2012 IEEE Statistical Signal Processing Workshop, SSP 2012
CountryUnited States
CityAnn Arbor, MI
Period8/5/128/8/12

Keywords

  • Wireless sensor networks
  • field estimation
  • ordinary kriging
  • quantized measurements
  • temporally staggered sensing

ASJC Scopus subject areas

  • Signal Processing

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  • Cite this

    Liu, S., Masazade, E., & Varshney, P. K. (2012). Temporally staggered sensing for field estimation with quantized data in wireless sensor networks. In 2012 IEEE Statistical Signal Processing Workshop, SSP 2012 (pp. 512-515). [6319746] (2012 IEEE Statistical Signal Processing Workshop, SSP 2012). https://doi.org/10.1109/SSP.2012.6319746