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Analyzing space-time sensor network data under suppression and failure in transmission

Publication ,  Journal Article
Puggioni, G; Gelfand, AE
Published in: Statistics and Computing
January 1, 2010

In this paper we present a fully model-based analysis of the effects of suppression and failure in data transmission with sensor networks. Sensor networks are becoming an increasingly common data collection mechanism in a variety of fields. Sensors can be created to collect data at very high temporal resolution. However, during periods when the process is following a stable path, transmission of such high resolution data would carry little additional information with regard to the process model, i. e., all of the data that is collected need not be transmitted. In particular, when there is cost to transmission, we find ourselves moving to consideration of suppression in transmission. Additionally, for many sensor networks, in practice, we will experience failures in transmission-messages sent by a sensor but not received at the gateway, messages sent but arriving corrupted. Evidently, both suppression and failure lead to information loss which will be reflected in inference associated with our process model. Our effort here is to assess the impact of such information loss under varying extents of suppression and varying incidence of failure. We consider two illustrative process models, presenting fully model-based analyses of suppression and failure using hierarchical models. Such models naturally facilitate borrowing strength across nodes, leveraging all available data to learn about local process behavior. © 2009 Springer Science+Business Media, LLC.

Duke Scholars

Published In

Statistics and Computing

DOI

ISSN

0960-3174

Publication Date

January 1, 2010

Volume

20

Issue

4

Start / End Page

409 / 419

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 4903 Numerical and computational mathematics
  • 4901 Applied mathematics
  • 0802 Computation Theory and Mathematics
  • 0104 Statistics
 

Citation

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Puggioni, G., & Gelfand, A. E. (2010). Analyzing space-time sensor network data under suppression and failure in transmission. Statistics and Computing, 20(4), 409–419. https://doi.org/10.1007/s11222-009-9133-z
Puggioni, G., and A. E. Gelfand. “Analyzing space-time sensor network data under suppression and failure in transmission.” Statistics and Computing 20, no. 4 (January 1, 2010): 409–19. https://doi.org/10.1007/s11222-009-9133-z.
Puggioni G, Gelfand AE. Analyzing space-time sensor network data under suppression and failure in transmission. Statistics and Computing. 2010 Jan 1;20(4):409–19.
Puggioni, G., and A. E. Gelfand. “Analyzing space-time sensor network data under suppression and failure in transmission.” Statistics and Computing, vol. 20, no. 4, Jan. 2010, pp. 409–19. Scopus, doi:10.1007/s11222-009-9133-z.
Puggioni G, Gelfand AE. Analyzing space-time sensor network data under suppression and failure in transmission. Statistics and Computing. 2010 Jan 1;20(4):409–419.
Journal cover image

Published In

Statistics and Computing

DOI

ISSN

0960-3174

Publication Date

January 1, 2010

Volume

20

Issue

4

Start / End Page

409 / 419

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 4903 Numerical and computational mathematics
  • 4901 Applied mathematics
  • 0802 Computation Theory and Mathematics
  • 0104 Statistics