Abstract:Abstract-Many distributed inference problems in wireless sensor networks can be represented by probabilistic graphical models, where belief propagation, an iterative message passing algorithm provides a promising solution. In order to make the algorithm efficient and accurate, messages which carry the belief information from one node to the others should be formulated in an appropriate format. This paper presents two belief propagation algorithms where non-linear and non-Gaussian beliefs are approximated by Fo… Show more
“…In [10] boxed bounded sampling is used to address the non-efficient sampling of the algorithm. In another research, By sending Fourier series instead of particles, the transmission data is greatly reduced [11]. [12] and [13] pruned extra edges from the graph and algorithm runs in minimum spanning tree.…”
“…In [10] boxed bounded sampling is used to address the non-efficient sampling of the algorithm. In another research, By sending Fourier series instead of particles, the transmission data is greatly reduced [11]. [12] and [13] pruned extra edges from the graph and algorithm runs in minimum spanning tree.…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.