Problems of diagnosability with sensor networks when dealing with environment monitoring

Result code in 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>

Result on the web

<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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Result language

angličtina

Original language name

Problems of diagnosability with sensor networks when dealing with environment monitoring

Original language description

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.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

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)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

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

Name of the periodical

Emerging Technologies

ISSN

2524-0102

e-ISSN

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Volume of the periodical

2016

Issue of the periodical within the volume

2

Country of publishing house

UA - UKRAINE

Number of pages

11

Pages from-to

105-115

UT code for WoS article

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EID of the result in the Scopus database

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