FRANÇAIS
A showcase of ÉTS researchers’ publications and other contributions
SEARCH

An OpNet implementation of Gauss-Markov mobility model and integration of link prediction algorithm in DSR protocol: A cross-layer approach

Amoussou, Grace, Mohanna, Hachem, Dziong, Zbigniew and Kadoch, Michel. 2005. « An OpNet implementation of Gauss-Markov mobility model and integration of link prediction algorithm in DSR protocol: A cross-layer approach ». In OPNETWORK 2005 (Washington D.C., WA, USA, Aug. 22-26, 2005)

[thumbnail of Kadoch M 2005 7422 An OpNet implementation of Gauss-Markov.pdf]
Preview
PDF
Kadoch M 2005 7422 An OpNet implementation of Gauss-Markov.pdf - Accepted Version
Use licence: All rights reserved to copyright holder.

Download (483kB) | Preview

Abstract

Cross layer design has been identified as a key mechanism to cope with instabilities caused by nodes mobility in wireless ad hoc networks. In this kind of networks, the fluctuations induced by the nodes movement result in channel variation that strongly affects the network layers functions such as scheduling, routing and flow control. To deal effectively with these fluctuations, we need to design a model for predicting the changes in the channel state and use them according to the networks needs. In this paper we propose an extension of the Dynamic Source Routing Protocol (DSR) which takes advantage of the link quality prediction in order to increase the probability that the selected paths will provide the required characteristics. The mobility of the nodes follows the GaussMarkov (GM) model, which was implemented by using the OPNET modeler tools. Furthermore, the DSR was modified in order to integrate the predicted link parameter and the simulated model performances are compared to the standard DSR.

Item Type: Conference proceeding
Professor:
Professor
Dziong, Zbigniew
Kadoch, Michel
Affiliation: Génie électrique
Date Deposited: 31 Mar 2014 15:30
Last Modified: 29 Aug 2017 19:12
URI: https://espace2.etsmtl.ca/id/eprint/7422

Actions (login required)

View Item View Item