基于QoS的蓝牙分散网(QIPS)调度

B. Nazir, K. Zia
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引用次数: 3

摘要

在蓝牙中,散射网的运行需要一些蓝牙单元作为网际网单元(网桥或网关节点),它们需要在网际网之间切换它们的存在。这就需要一个网际网调度算法,能够以有效的方式调度这些网桥节点的存在。本文提出并评价了一种新方案——“面向QoS的分散网间微网调度”(QIPS)。专为小规模分散网的网间调度和使用保持模式而设计。在QIPS中,为了提供QoS,我们根据它们的QoS(延迟和带宽)要求,将传入的流量(i-e - best effort)、音频和视频数据划分为八个流量类。根据流量类的QoS要求,为这些流量类分配不同的优先级,这些优先级决定了网桥节点的报文转发和交换现象。使用该QIPS为网内和网间调度提供了一个集成的解决方案,即用于从机的轮询和网桥的调度。它根据流量分类的QoS要求,既支持时延保证,又支持带宽保证,同时在不对称速率下保持公平和高效,并且QIPs采用低功耗保持模式,比其他低功耗模式具有更大的灵活性。我们通过仿真与LLA[8]和EFSA[9]进行比较,评估了所提出算法在高效公平的piconet间调度方面的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QoS aware Interpiconet Scheduling in Bluetooth Scatternet (QIPS)
In Bluetooth, the operation of a scatternet requires some Bluetooth units to be interpiconet units (bridge or gateway nodes), which need to switch their presence among piconets This requires an interpiconet scheduling algorithm that can schedule the presence of these bridge nodes in an efficient manner. This paper presents and evaluates a novel scheme called "QoS aware Inter Piconet Scheduling in Scatternet (QIPS) " tailored for interpiconet scheduling in small-scale scatternets and use hold mode. In QIPS, to provide the QoS, we divide the incoming traffic i-e best effort, audio and video data in to eight traffic classes on the basis of their QoS (delay and bandwidth) requirements. According to their QoS requirements different priorities are assigned to these traffic classes and phenomenon of packet forwarding and switching of the bridge node are dictated by these priorities. Using that QIPS provides an integrated solution for both intra and interpiconet scheduling, i.e., for polling of slaves and scheduling of bridge. It supports both delay and bandwidth guarantees according to the QoS requirement of the traffic classes and also aims to remain fair and efficient with asymmetric flow rates and also QIPs use low-power hold mode, which allows greater flexibility than other low- power modes. We have evaluated the performance of proposed algorithm by comparing with LLA [8] and EFSA [9] regarding efficient and fair inter-piconet scheduling via simulation.
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