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Publication detail
MAKHLOUF, N.
Original Title
Exploiting Neural Networks for Mobility Prediction in Mobile Ad Hoc Networks
Type
journal article - other
Language
English
Original Abstract
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.
Keywords
Backpropagation algorithm; Feedforward network; Mobility model; Mobility prediction.
Authors
Released
30. 6. 2016
Location
Brno
ISBN
1213-1539
Periodical
Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)
Year of study
18
Number
3
State
Czech Republic
Pages from
63
Pages to
67
Pages count
5
URL
http://elektrorevue.cz/cz/clanky/komunikacni-technologie/
BibTex
@article{BUT126730, author="Nermin {Makhlouf}", title="Exploiting Neural Networks for Mobility Prediction in Mobile Ad Hoc Networks", journal="Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)", year="2016", volume="18", number="3", pages="63--67", issn="1213-1539", url="http://elektrorevue.cz/cz/clanky/komunikacni-technologie/" }