Exploiting Neural Networks for Mobility Prediction in Mobile Ad Hoc Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU119633" target="_blank" >RIV/00216305:26220/16:PU119633 - isvavai.cz</a>
Result on the web
<a href="http://elektrorevue.cz/cz/clanky/komunikacni-technologie/" target="_blank" >http://elektrorevue.cz/cz/clanky/komunikacni-technologie/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Exploiting Neural Networks for Mobility Prediction in Mobile Ad Hoc Networks
Original language description
The main aim of this paper is to predict the future movement of mobile nodes in ad hoc networks using a neural network based method. This method consists of three-layer feedforward network. The backpropagation algorithm is used to learn the neural network. Frequent node mobility in ad hoc networks causes unreliable wireless links. The mobility prediction allows to find the more stable links in a mobile ad hoc network. It reduces the overhead and improves the routing.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)
ISSN
1213-1539
e-ISSN
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Volume of the periodical
18
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
5
Pages from-to
63-67
UT code for WoS article
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EID of the result in the Scopus database
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