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Title: Dempster–Shafer information filtering framework: Temporal and spatio-temporal evidence filtering
Authors: Weeraddana, D. M
Kulasekere, E. C
Walgama, K. S
Keywords: Dempster–Shafer
Information Filtering Framework
Filtering Framework
Evidence Filtering
Issue Date: 4-Jun-2015
Publisher: IEEE
Citation: D. M. Weeraddana, C. Kulasekere and K. S. Walgama, "Dempster–Shafer Information Filtering Framework: Temporal and Spatio-Temporal Evidence Filtering," in IEEE Sensors Journal, vol. 15, no. 10, pp. 5576-5583, Oct. 2015, doi: 10.1109/JSEN.2015.2442153.
Series/Report no.: IEEE Sensors Journal;Vol15 Issue 10 Pages 5576-5583
Abstract: This paper presents an information processing framework for distributed sensor networks. The framework is capable of directly processing temporally and spatially distributed multimodality sensor data to extract information buried in the noise clutter. Moreover, we introduce distributed algorithms to implement spatio-temporal filtering applications in grid sensor networks within the context of the framework. The proposed framework is based on the belief notions in Dempster-Shafer (DS) evidence theory and evidence filtering method. Further analysis is done by exploiting a fire propagation scenario when high noise is present in the sensed data. We compare intuitively appealing results against DS fusion method to grant further credence to the proposed framework.
ISSN: 1530-437X
Appears in Collections:Research Papers - Department of Electrical and Electronic Engineering
Research Papers - SLIIT Staff Publications

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