Single bit and reduced dimension diffusion strategies over distributed networks
Author
Sayin, M. O.
Kozat, S. S.
Date
2013Source Title
IEEE Signal Processing Letters
Print ISSN
1070-9908
Publisher
IEEE
Volume
20
Issue
10
Pages
976 - 979
Language
English
Type
ArticleItem Usage Stats
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Abstract
We introduce novel diffusion based adaptive estimation strategies for distributed networks that have significantly less communication load and achieve comparable performance to the full information exchange configurations. After local estimates of the desired data is produced in each node, a single bit of information (or a reduced dimensional data vector) is generated using certain random projections of the local estimates. This newly generated data is diffused and then used in neighboring nodes to recover the original full information. We provide the complete state-space description and the mean stability analysis of our algorithms.
Keywords
CompressedSingle-bit
Adaptive estimation
Compressed
Diffusion strategies
Distributed
Distributed networks
Reduced-dimensional
Single-bit
State-space description
Estimation
Diffusion