Distributed Network Tomography Applied to Stochastic Delay Profile Estimation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00342422" target="_blank" >RIV/68407700:21230/20:00342422 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.13164/re.2020.0189" target="_blank" >https://doi.org/10.13164/re.2020.0189</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13164/re.2020.0189" target="_blank" >10.13164/re.2020.0189</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Distributed Network Tomography Applied to Stochastic Delay Profile Estimation

Popis výsledku v původním jazyce

In this paper is shown, how delay properties of the edges of a network with stochastic properties can be estimated cooperatively by individual nodes that retain the delay profiles of the entire network. The proposed algorithm adopts null-space projection-based consensus among agents to find individual entries from a set of arbitrary sum-cumulative entities associated with graph edges (e.g., delays associated with edges) based on sums over the network paths. The local estimates of delay profile are estimated using Least Squares (LS). A modified, tailored, iterative consensus algorithm is then employed to distribute information among the neighbors. The distributed network tomography is compared to the conventional centralized solution and also to iterative solvers based on Cimmino, CAV, and Landweber methods applied in a distributed manner.

Název v anglickém jazyce

Distributed Network Tomography Applied to Stochastic Delay Profile Estimation

Popis výsledku anglicky

In this paper is shown, how delay properties of the edges of a network with stochastic properties can be estimated cooperatively by individual nodes that retain the delay profiles of the entire network. The proposed algorithm adopts null-space projection-based consensus among agents to find individual entries from a set of arbitrary sum-cumulative entities associated with graph edges (e.g., delays associated with edges) based on sums over the network paths. The local estimates of delay profile are estimated using Least Squares (LS). A modified, tailored, iterative consensus algorithm is then employed to distribute information among the neighbors. The distributed network tomography is compared to the conventional centralized solution and also to iterative solvers based on Cimmino, CAV, and Landweber methods applied in a distributed manner.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/LTC17042" target="_blank" >LTC17042: Kooperativní kódování a zpracování v hustých rádiových cloudových komunikačních sítích</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Radioengineering

ISSN

1210-2512

e-ISSN

1805-9600

Svazek periodika

29

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

189-196

Kód UT WoS článku

000530038600022

EID výsledku v databázi Scopus

2-s2.0-85085104035