%0 Journal Article
	%A D.M. Weeraddana and  K.S. Walgama and  E.C. Kulasekere
	%D 2013
	%J International Journal of Electronics and Communication Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 79, 2013
	%T Dempster-Shafer Information Filtering in Multi-Modality Wireless Sensor Networks
	%U https://publications.waset.org/pdf/16375
	%V 79
	%X 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.

	%P 871 - 877