Recently, multimedia streaming applications are deployed anywhere (homes, campuses, etc.). Delivering these applications over mobile ad hoc networks is a challenging task: first, mobile ad hoc networks are infrastructure less, with dynamic topology, and limited resources. Secondly these applications have strict quality of service (QoS) requirements given with delay, jitter, bandwidth, loss rate, etc. Several architectures have been developed. However, an important part like QoS in routing level is still omitted. In this paper, many different coding techniques for video streaming are reviewed and two routing protocols (reactive and proactive) are used to evaluate which of them can improve QoS for multimedia streaming applications. Results show that reactive protocol performs better than proactive protocol in terms of throughput and network load in high mobility, but roles are reversed in terms of loss rate and network load for large-scale networks. PNSR and Jitter are influenced by nodes numbers independently of used protocol.

Recently, multimedia streaming applications are deployed anywhere (homes, campuses, etc.). Delivering these applications over mobile ad hoc networks is a challenging task: first, mobile ad hoc networks are infrastructure less, with dynamic topology, and limited resources. Secondly these applications have strict quality of service (QoS) requirements given with delay, jitter, bandwidth, loss rate, etc. Several architectures have been developed. However, an important part like QoS in routing level is still omitted. In this paper, many different coding techniques for video streaming are reviewed and two routing protocols (reactive and proactive) are used to evaluate which of them can improve QoS for multimedia streaming applications. Results show that reactive protocol performs better than proactive protocol in terms of throughput and network load in high mobility, but roles are reversed in terms of loss rate and network load for large-scale networks. PNSR and Jitter are influenced by nodes numbers independently of used protocol.

La fiabilité figure parmi les objectifs les plus importants pour les fabricants en tant qu’indicateur de performance et en plus, elle est devenue un argument commercial important dans l’impact économique du cycle de vie et un paramètre clé de la qualité et d’aide à la décision dans l’étude de la plus part des composants, produits et processus. A ce propos, l’évaluation de la fiabilité des produits en phase de conception occupe une place de choix. Dans cet ouvrage, nous avons proposé une démarche d’anticipation des risques en conception qui s’articulent principalement autour du modèle DIC « outil de gestion de la connaissance » et leurs méthodes supports « outils SDF ». Cette méthodologie permet au concepteur de comprendre la conservation d’une valeur opérationnelle dans le temps qui est cependant associée à un risque ou une probabilité de défaillance qu’il faut tenir compte dès la phase de conception du produit. A cet effet nous avons procédé à des essais accélérés afin de capitaliser des connaissances sur ces risques potentiels.