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Comparison of algorithms for node selection in distributed estimation

Grant number: 15/13330-4
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): September 01, 2015
Effective date (End): August 31, 2016
Field of knowledge:Engineering - Electrical Engineering - Telecommunications
Principal researcher:Vitor Heloiz Nascimento
Grantee:Pedro Gazzillo Zuchetti
Home Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

Methods for cooperative estimation (combinations of algorithms and distributed estimation) lead to an improved performance, compared to traditional methods. The gain is obtained through information exchange between different estimators that operate simultaneously, allowing a better use of the available data. However, the presence of nodes with low signal-to-noise ratios may significatively degrade the performance of the whole network. Several algorithms have been proposed to solve this problem; the goal of this work is to compare these techniques with respect to performance and complexity.