Comparative Study of Distributed Estimation Precision by Average Consensus Weight Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU125891" target="_blank" >RIV/00216305:26220/17:PU125891 - isvavai.cz</a>
Result on the web
<a href="https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/405" target="_blank" >https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/405</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.24138/jcomss.v13i4.405" target="_blank" >10.24138/jcomss.v13i4.405</a>
Alternative languages
Result language
angličtina
Original language name
Comparative Study of Distributed Estimation Precision by Average Consensus Weight Models
Original language description
Distributed algorithms for an aggregate function estimation are an important complement of many real-life applications based on wireless sensor networks. Achieving a high precision of an estimation in a shorter time can optimize the overall energy consumption. Therefore, the choice of a proper distributed algorithm is an important part of an application design. In this study, we focus our attention on the average consensus algorithm and evaluate six weight models appropriate for the implementation into real-life applications. Our aim is to find the most suitable model in terms of the estimation precision in various phases of the algorithm. We examine the deviation of the least precise estimate over iterations for a Gaussian, a Uniform and a Bernoulli distribution of the initial states in strongly and weakly connected networks with a randomly generated topology. We examine which model is the most and the least precise in various phases. Based on these findings, we determine the most suitable model for real-life applications.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Communications Software and Systems
ISSN
1845-6421
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
4
Country of publishing house
HR - CROATIA
Number of pages
13
Pages from-to
165-177
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85042519177