66 research outputs found

    IP-Based Mobility Management and Handover Latency Measurement in heterogeneous environments

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    One serious concern in the ubiquitous networks is the seamless vertical handover management between different wireless technologies. To meet this challenge, many standardization organizations proposed different protocols at different layers of the protocol stack. The Internet Engineering Task Force (IETF) has different groups working on mobility at IP level in order to enhance mobile IPv4 and mobile IPv6 with different variants: HMIPv6 (Hierarchical Mobile IPv6), FMIPv6 (Fast Mobile IPv6) and PMIPv6 (Proxy Mobile IPv6) for seamless handover. Moreover, the IEEE 802.21 standard provides another framework for seamless handover. The 3GPP standard provides the Access Network and Selection Function (ANDSF) to support seamless handover between 3GPP – non 3GPP networks like Wi-Fi, considered as untrusted, and WIMAX considered as trusted networks. In this paper, we present an in-depth analysis of seamless vertical handover protocols and a handover latency comparison of the main mobility management approaches in the literature. The comparison shows the advantages and drawbacks of every mechanism in order to facilitate the adoption of the convenient one for vertical handover within Next Generation Network (NGN) environments. Keywords: Seamless vertical handover, mobility management protocols, IEEE 802.21 MIH, handover latenc

    ADM : A Density And Priority Levels Aware Protocol For Broadcasting In Vehicular Ad-Hoc Networks

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    The broadcasting communication mode is widely used in Vehicular Ad~hoc Networks (VANETs). It is used for sending emergency messages, road-traffic information or to help routing protocols to determine routes. This communication mode is known to be hard to achieve efficiently since it depends on the network density. Indeed, broadcasting methods may cause network congestion if they are not well designed. This paper introduces a novel Autonomic Dissemination Method (ADM) which delivers messages in accordance with given message classes and network density levels. The proposed approach is based on two steps: an offline optimization process and an online adaptation to the network characteristics. ADM allows each node to dynamically adapt its broadcasting strategy not only with respect to the network density, but also according to the class of the message to send: emergency (high-priority), road-traffic (medium-priority) or either comfort message (low-priority). The ultimate goal of ADM is to make effective use of radio resources when there are many messages to send simultaneously. This approach increases the efficiency of the broadcast process in terms of message delivery ratio, latency and interferences reduction. The autonomic computing paradigm improves the robustness of protocols

    Dynamique de l'environnement : Scénarios, simulations et maquette

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    IP-SIG/LIV/4.2. Contrat RNRT IPSIGCe livrable traite de la négociation dynamique de SLA/SLS et du maintien des paramètres négociés lors de la mobilité du terminal dans le cadre d'une signalisation NSIS. Il fait suite au livrable 4.1 qui présentait un assistant de négociation, coté terminal utilisateur, permettant de négocier dynamiquement les SLA/SLS avec le/les fournisseurs de service, et plusieurs protocoles conformes à l'environnement NSIS afin de négocier le SLS, et maintenir la qualité de service négociée. Il s'agit dans ce livrable de compléter l'approche retenue en présentant des scénarios d'utilisation, notamment dans le cas du protocole de négociation dynamique de paramètres de SLS, des résultats de simulations, principalement pour le protocole de réservation de ressources à l'avance et une maquette permettant de démontrer la faisabilité de la (re)négociation dynamique de SLA/SLS. Cette dernière comporte un module d'apprentissage et un système multi-agents

    Quality of Service Management in Wireless Mesh Networks

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    Service Level Management in Emerging Environments

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    Service Level Management in the Internet of Things (IoT)

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    Service Level Management in the Cloud

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    Gestion du niveau de service dans les environnements Ă©mergents

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    Gestion du niveau de service dans le Cloud

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