Decision-making in distributed sensor networks

A belief-theoretic Bayes-like theorem

Kamal Premaratne, J. Zhang, K. K R G K Hewawasam

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

1 Citation (Scopus)

Abstract

A Dempster-Shafer (DS) belief theoretic evidence updating strategy is ideally suited to accommodate the difficulties associated with the availability of only incomplete information at each node of a distributed sensor network (DSN). Such a strategy however must also account for sensor heterogeneity, 'inertia' and 'integrity' of the existing knowledge base and reliability of the data generated at each sensor node. In this paper, we propose a Bayes-like theorem that can conveniently address these issues while allowing one to compute the 'posterior' belief of a 'hypothesis' given an 'observation' when the corresponding 'likelihoods' and 'priors' are available. Unlike previous work on DS belief theoretic generalizations of Bayes' theorem, our work is based on the Fagin-Halpern conditional notions that can be considered more 'natural extensions' of corresponding Bayesian notions.

Original languageEnglish (US)
Title of host publicationMidwest Symposium on Circuits and Systems
Volume2
StatePublished - 2004
EventThe 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings - Hiroshima, Japan
Duration: Jul 25 2004Jul 28 2004

Other

OtherThe 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings
CountryJapan
CityHiroshima
Period7/25/047/28/04

Fingerprint

Sensor nodes
Sensor networks
Decision making
Availability
Sensors

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Premaratne, K., Zhang, J., & Hewawasam, K. K. R. G. K. (2004). Decision-making in distributed sensor networks: A belief-theoretic Bayes-like theorem. In Midwest Symposium on Circuits and Systems (Vol. 2)

Decision-making in distributed sensor networks : A belief-theoretic Bayes-like theorem. / Premaratne, Kamal; Zhang, J.; Hewawasam, K. K R G K.

Midwest Symposium on Circuits and Systems. Vol. 2 2004.

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

Premaratne, K, Zhang, J & Hewawasam, KKRGK 2004, Decision-making in distributed sensor networks: A belief-theoretic Bayes-like theorem. in Midwest Symposium on Circuits and Systems. vol. 2, The 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings, Hiroshima, Japan, 7/25/04.
Premaratne K, Zhang J, Hewawasam KKRGK. Decision-making in distributed sensor networks: A belief-theoretic Bayes-like theorem. In Midwest Symposium on Circuits and Systems. Vol. 2. 2004
Premaratne, Kamal ; Zhang, J. ; Hewawasam, K. K R G K. / Decision-making in distributed sensor networks : A belief-theoretic Bayes-like theorem. Midwest Symposium on Circuits and Systems. Vol. 2 2004.
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