Distributed evidence filtering in networked embedded systems

Duminda Dewasurendra, Peter Bauer, Kamal Premaratne

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

4 Scopus citations

Abstract

Networked embedded sensor systems use the evidence gathered by spatially distributed heterogeneous sensor nodes possessing partial and different scopes of expertise, to make inferences on the scenario under observation. For such system to make an accurate collective decision, the partial and incomplete evidence provided by nodes must be processed in a simple and straightforward manner during the information exchange and fusion process. To achieve these objectives, we present a novel, unified approach named “non-recursive evidence filtering” based on the Dempster-Shafer (DS) formalism for evidence representation. It is capable of selectively fusing partial evidence in such a network to directly infer on events of interest such as threats occurring with a certain temporal distribution, while accommodating the varying reliability and accuracy of information sources. Certain restrictions on the coefficients impose several challenges in the design of such evidence filters. We show that the gain of these evidence filters at frequency zero is always equal to one and all coefficients must be non-negative. This suggests that arbitrary frequency shaping is not possible and a pure bandpass evidence filter is not realizable. A method to design a simple FIR evidence filter to detect periodic events of interest is presented. Multi-dimensional spatio-temporal evidence filters are discussed as a direct extension to the above, along with a low signature threat detection example that clearly illustrates the effectiveness of the evidence filtering concept in distributed networked embedded systems.

Original languageEnglish (US)
Title of host publicationNetworked Embedded Sensing and Control - Workshop NESC'05, Proceedings
PublisherSpringer Verlag
Pages183-198
Number of pages16
Volume331
ISBN (Print)9783540327943
DOIs
StatePublished - Jan 1 2005
EventWorkshop on Networked Embedded Sensing and Control, NESC 2005 - Notre Dame, United States
Duration: Oct 17 2005Oct 18 2005

Publication series

NameLecture Notes in Control and Information Sciences
Volume331
ISSN (Print)0170-8643

Other

OtherWorkshop on Networked Embedded Sensing and Control, NESC 2005
CountryUnited States
CityNotre Dame
Period10/17/0510/18/05

ASJC Scopus subject areas

  • Library and Information Sciences

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    Dewasurendra, D., Bauer, P., & Premaratne, K. (2005). Distributed evidence filtering in networked embedded systems. In Networked Embedded Sensing and Control - Workshop NESC'05, Proceedings (Vol. 331, pp. 183-198). (Lecture Notes in Control and Information Sciences; Vol. 331). Springer Verlag. https://doi.org/10.1007/11533382_12