Etude, évaluation et amélioration des performances du protocole de routage GPSR dans les réseaux véhiculaires Ad-hoc

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Etude, évaluation et amélioration des performances du protocole de routage GPSR dans les réseaux véhiculaires Ad-hoc

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dc.contributor.author Squalli Houssaini Zineb
dc.description.collaborator Meknassi, Mohammed (Président)
dc.description.collaborator Benabbou, Rachid (Rapporteur)
dc.description.collaborator Berrada, Ismaïl (Rapporteur)
dc.description.collaborator Ouzzif, Mohamed (Rapporteur)
dc.description.collaborator Alaoui Zidani, Khalid (Examinateur)
dc.description.collaborator Lasfar, Abdel Ali (Examinateur)
dc.description.collaborator Ouatik El Alaoui, Saïd (Directeur de la thèse)
dc.description.collaborator Oumsis, Mohammed (Co-Directeur de la thèse)
dc.date.accessioned 2018-10-08T13:55:57Z
dc.date.available 2018-10-08T13:55:57Z
dc.date.issued 2018-01-26
dc.identifier.uri http://toubkal.imist.ma/handle/123456789/11500
dc.description.abstract :Vehicularad-hocNetwork(VANET)isadistributedandself-configuring networkconsideredasasubclassofmobilead-hocnetworks(MANET)wheremobile nodes are vehicles. VANET has been suggested as an active and powerful field for research as this type of environment encounters many challenges. Indeed, Regarding the constraints and unique characteristics of this network, routing with a very good quality of service (QoS) constitutes a major challenge. The Greedy Perimeter Stateless Routing protocol (GPSR) is one of the most promising mechanisms chosen to encounter this challenge. However, its effectiveness depends entirely on geographical position information of the nodes and their precisions. Therefore, the monitoring and management of vehicle’s mobility information are very important parameters that must be taken into account. In this thesis, we propose two solutions to handle the problem of mobility and improve the efficiency of GPSR routing. We opt to use the vehicle’s GPS (Geographical Position System) information to predict its location in the near future. The first solution to achieve this aim is the use of two different deterministic prediction strategies that allow the GPSR routing protocol to make smarter routing decisions and to anticipate critical situations. Then, to attain better results, while minimizing the overhead and rout-costs, we proposed a second contribution based on a robust stochastic prediction approach using the Kalman filter algorithm. through this solution, each vehicle can update regularly and accurately the position of vehicles inside its neighborhood. Extensive simulations have been carried out to validate and to prove the effectivenessoftheproposedextensionsofGPSR.Thesimulationresultsshowasignificant improvement in in the performance of our routing protocols in terms of routing cost, networkoverhead,end-to-enddelays,packetdeliveryrateandthroughputcompared to other tested routing protocols. fr_FR
dc.language.iso fr fr_FR
dc.publisher Université Sidi Mohamed Ben Abdellah, Faculté des Sciences - Dhar El Merhaz, Fès fr_FR
dc.subject Informatique fr_FR
dc.subject Vehicularad fr_FR
dc.subject hocNetworks fr_FR
dc.subject VANET fr_FR
dc.subject Geographic routing protocol fr_FR
dc.subject GPSR fr_FR
dc.subject Stochastic prediction fr_FR
dc.subject Kalman fr_FR
dc.subject Filter fr_FR
dc.subject QoS fr_FR
dc.title Etude, évaluation et amélioration des performances du protocole de routage GPSR dans les réseaux véhiculaires Ad-hoc fr_FR
dc.description.laboratoire Informatique et Modélisation (LIM, (LAB.) fr_FR

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