Distributed Aggregate Function Estimation by Biphasically Configured Metropolis-Hasting Weight Model

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU123235" target="_blank" >RIV/00216305:26220/17:PU123235 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.13164/re.2017.0479" target="_blank" >http://dx.doi.org/10.13164/re.2017.0479</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13164/re.2017.0479" target="_blank" >10.13164/re.2017.0479</a>

Result language

angličtina

Original language name

Distributed Aggregate Function Estimation by Biphasically Configured Metropolis-Hasting Weight Model

Original language description

An energy-efficient estimation of an aggregate function can significantly optimize a global event detection or monitoring in wireless sensor networks. This is probably the main reason why an optimization of the complementary consensus algorithms is one of the key challenges of the lifetime extension of the wireless sensor networks on which the attention of many scientists is paid. In this paper, we introduce an optimized weight model for the average consensus algorithm. It is called the Biphasically configured Metropolis-Hasting weight model and is based on a modification of the Metropolis-Hasting weight model by rephrasing the initial configuration into two parts. The first one is the default configuration of the Metropolis-Hasting weight model, while, the other one is based on a recalculation of the weights allocated to the adjacent nodes’ incoming values at the cost of decreasing the value of the weights of the inner states. The whole initial configuration is executed in a fully-distributed manner. In the experimental section, it is proven that our optimized weight model significantly optimizes the MetropolisHasting weight model in several aspects and achieves better results compared with other concurrent weight models.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Radioengineering

ISSN

1210-2512

e-ISSN

—

Volume of the periodical

26

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

17

Pages from-to

479-495

UT code for WoS article

000403521700012

EID of the result in the Scopus database

—