4 research outputs found

    Improving Inter-service bandwidth fairness in Wireless Mesh Networks

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    Includes bibliographical references.We are currently experiencing many technological advances and as a result, a lot of applications and services are developed for use in homes, offices and out in the field. In order to attract users and customers, most applications and / or services are loaded with graphics, pictures and movie clips. This unfortunately means most of these next generation services put a lot of strain on networking resources, namely bandwidth. Efficient management of bandwidth in next generation wireless network is therefore important for ensuring fairness in bandwidth allocation amongst multiple services with diverse quality of service needs. A number of algorithms have been proposed for fairness in bandwidth allocation in wireless networks, and some researchers have used game theory to model the different aspects of fairness. However, most of the existing algorithms only ensure fairness for individual requests and disregard fairness among the classes of services while some other algorithms ensure fairness for the classes of services and disregard fairness among individual requests

    Veröffentlichungen und Vorträge 2003 der Mitgleider der Fakultät für Informatik

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    Best-Effort Low-Delay Service

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    The Differentiated Services (DiffServ) approach is intended to provide Quality of Service (QoS) inIP-based networks. This is a very important issue not only in wire-line fixed networks but also in IP-based wireless mobile networks. Currently, services within the DiffServ approach including Premium Service, Assured Service and Best-Effort Service are intended for fixed networks. We have proposed the Mobile Differentiated Services QoS model [5] to enhance the above services so they are better suited for wireless mobile networks. One part of this QoS model is the socalled Best-Effort Low-Delay (BELD) Service which has the same low-delay and low-jitter characteristic as Premium Service, but a certain probability for packet loss. This service is especially suited for delay-sensitive and loss-tolerant applications and can take favor of unused Premium Service resources to increase the network utilization. This paper presents details on the BELD Service including initial simulation results showing the feasibility of BELD service. 1
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