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Title: Dempster-Shafer Information Filtering in Multi-Modality Wireless Sensor Networks
Authors: Weeraddana, D. M
Walgama, K. S
Kulasekere, E. C
Keywords: Dempster-Shafer Belief theory
Evidence Filtering
Evidence Filtering
Evidence Fusion
Sensor Modalities
Wireless Sensor Networks
Issue Date: 27-Jul-2013
Series/Report no.: International Journal of Electronics and Communication Engineering;Vol 7 Issue 7 Pages 871-877
Abstract: A framework to estimate the state of dynamically varying environment where data are generated from heterogeneous sources possessing partial knowledge about the environment is presented. This is entirely derived within Dempster-Shafer and Evidence Filtering frameworks. The belief about the current state is expressed as belief and plausibility functions. An addition to Single Input Single Output Evidence Filter, Multiple Input Single Output Evidence Filtering approach is introduced. Variety of applications such as situational estimation of an emergency environment can be developed within the framework successfully. Fire propagation scenario is used to justify the proposed framework, simulation results are presented.
Appears in Collections:Research Papers - Department of Electrical and Electronic Engineering
Research Papers - SLIIT Staff Publications

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