Problems of diagnosability with sensor networks when dealing with environment monitoring

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F16%3A43887997" target="_blank" >RIV/44555601:13440/16:43887997 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.unt.kiev.ua/docs/Zbirnyk_2_2016.pdf" target="_blank" >http://www.unt.kiev.ua/docs/Zbirnyk_2_2016.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Problems of diagnosability with sensor networks when dealing with environment monitoring

Popis výsledku v původním jazyce

Sensor networks which are exploited for environment monitoring are very often negatively affected by surroundings. As a result, sensor nodes can often fail. The paper presents diagnosis technique based on mutual tests among sensor nodes. Such diagnosis is considered as system level self-diagnosis. Traditionaly, system level self-diagnosis is used for detecting of permanently faulty nodes. In the paper, we consider the problems of intermittent fault detection and suggest diagnosis procedures which allow distinguishing between different types of intermittent faults. For each type of intermittent faults we developed diagnosis procedure.

Název v anglickém jazyce

Problems of diagnosability with sensor networks when dealing with environment monitoring

Popis výsledku anglicky

Sensor networks which are exploited for environment monitoring are very often negatively affected by surroundings. As a result, sensor nodes can often fail. The paper presents diagnosis technique based on mutual tests among sensor nodes. Such diagnosis is considered as system level self-diagnosis. Traditionaly, system level self-diagnosis is used for detecting of permanently faulty nodes. In the paper, we consider the problems of intermittent fault detection and suggest diagnosis procedures which allow distinguishing between different types of intermittent faults. For each type of intermittent faults we developed diagnosis procedure.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Emerging Technologies

ISSN

2524-0102

e-ISSN

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Svazek periodika

2016

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

UA - Ukrajina

Počet stran výsledku

11

Strana od-do

105-115

Kód UT WoS článku

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EID výsledku v databázi Scopus

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