Abstract

In this paper, we propose a unified Bayesian decision theory model to integrate various components of a sensor network. We identify the key aspects of the Bayesian decision theory model, the functionalities of each network component, and the nature of interaction of the various network components in the proposed Bayesian framework. We also highlight some of the research avenues that need to be investigated for each network component. Finally, we present the use of Bayesian decision theory to schedule sensors in an energy-bandwidth constrained sensor network for target tracking.

Original languageEnglish (US)
Title of host publicationProceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05
Pages598-603
Number of pages6
Volume2005
DOIs
StatePublished - 2005
Event20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05 - Limassol, Cyprus
Duration: Jun 27 2005Jun 29 2005

Other

Other20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05
CountryCyprus
CityLimassol
Period6/27/056/29/05

Fingerprint

Network components
Decision theory
Sensor networks
Target tracking
Bandwidth
Sensors

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Chhetri, A. S., Morrell, D., Papandreou-Suppappola, A., Chakrabarti, C., Spanias, A., & Zhang, J. (2005). A unified Bayesian decision theory perspective to sensor networks. In Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05 (Vol. 2005, pp. 598-603). [1467082] https://doi.org/10.1109/.2005.1467082

A unified Bayesian decision theory perspective to sensor networks. / Chhetri, A. S.; Morrell, Darryl; Papandreou-Suppappola, Antonia; Chakrabarti, Chaitali; Spanias, Andreas; Zhang, J.

Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05. Vol. 2005 2005. p. 598-603 1467082.

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

Chhetri, AS, Morrell, D, Papandreou-Suppappola, A, Chakrabarti, C, Spanias, A & Zhang, J 2005, A unified Bayesian decision theory perspective to sensor networks. in Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05. vol. 2005, 1467082, pp. 598-603, 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05, Limassol, Cyprus, 6/27/05. https://doi.org/10.1109/.2005.1467082
Chhetri AS, Morrell D, Papandreou-Suppappola A, Chakrabarti C, Spanias A, Zhang J. A unified Bayesian decision theory perspective to sensor networks. In Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05. Vol. 2005. 2005. p. 598-603. 1467082 https://doi.org/10.1109/.2005.1467082
Chhetri, A. S. ; Morrell, Darryl ; Papandreou-Suppappola, Antonia ; Chakrabarti, Chaitali ; Spanias, Andreas ; Zhang, J. / A unified Bayesian decision theory perspective to sensor networks. Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05. Vol. 2005 2005. pp. 598-603
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