Publication detail

Exploiting Neural Networks for Mobility Prediction in Mobile Ad Hoc Networks

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

MAKHLOUF, N.

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/"
}