Les réseaux ad hoc sans fil, appelé

Les réseaux ad hoc sans fil, appelés aussi MANET (Mobile Ad Hoc Network), connaissent de nos jours, un succès fulgurant, avec notamment l'existence du WiFi. Notre travail sert à analyser les différents protocoles de routages du réseaux Ad Hoc (aodv,dsr,grp et olsr) à base d'une approche de fouille de données aprés avoir les classifier automatiquement par l'algorithme de classification CAH, puis évaluer leurs performances selon deux métriques le débit et le délai. Au volet de l'évaluation, nous avons utilisé le simulateur Opnet modeler qui nous a permet de visualiser les résultats ordonnée. Au volet de classification nous avons utilisé le logiciel de data mining Tanagra, il implémente une série de méthodes de fouille de données issues du domaine de la statistique exploratoire, de l'analyse de données, de l'apprentissage automatique et des bases de données.

Résultats (Anglais) 1:

Wireless ad hoc networks, MANET (Mobile Ad Hoc Network), also known as know nowadays, a runaway success, with the existence of WiFi. Our work is used to analyze different protocols routing for Ad Hoc networks (dsr, grp, aodv and olsr) based on an approach of data after automatically classify them by the CAH classification algorithm, and then assess their performance according to both flow and delay metrics. To the component of the evaluation, we used the Opnet Simulator modeler that allows to visualize the results ordered. The branch of classification we used the software of data mining Tanagra, it implements a set of methods of search of data from the field of exploratory statistics, data analysis, machine learning and data bases.

Résultats (Anglais) 2:

The ad hoc wireless networks, known as MANET (Mobile Ad Hoc Network), known nowadays, a huge success, particularly with the existence of WiFi. Our job is to analyze the different routing protocols of Ad Hoc Networks (AODV, DSR, and olsr grp) based on a data mining approach after having classify automatically by CAH classification algorithm and evaluate their performance by two metrics throughput and delay. The component of the evaluation, we used the simulator Opnet model which allows us to visualize the orderly results. The classification component we used the data mining software Tanagra, it implements a series of data mining methods from the field of exploratory statistics, data analysis, machine learning and databases.

Résultats (Anglais) 3:

wireless ad hoc networks, also known as manet (mobile ad hoc network) is today a brilliant success, especially with the availability of wifi. our work is to analyze the various protocols of ad hoc networks (aodv routings, dsr, grp and olsr) based on an approach of data mining after classified automatically by the classification algorithm, and evaluate their performance according to cam, two metrics throughput and delay. in the study, we used the simulator opnet model we can visualize the results in order. in the classification, we used the software of data mining, we implement a series of methods of data mining from exploratory statistics, data analysis, learning automatic and databases.