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Analyzing the Device Discovery Phase of Bluetooth Scatternet Formation Algorithms

机译:浅析蓝牙散射形成算法的设备发现阶段

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We study in this paper the impact of the modifications introduced in version 1.2 of the Bluetooth specifications on Bluetooth Scatternet Formation (BSF) algorithms. Up to now, the effect of these modifications on BSF algorithms had not been analyzed. We show that: 1) Bluetooth ver1.2 and upward have a major positive effect on static BSF algorithms (i.e. those which require an external device discovery phase). We conducted some experiments on a common device discovery technique for static BSF algorithms and compared its performance using Ver1.2 and Ver1.1 (the latter is used in most BSF studies). We found that this technique, using ver1.2, generates a connected topology about 3.5 times faster than it does using ver1.1. It also discovers about 20% more edges. 2) Dynamic algorithms, on the other hand, are not affected by these modifications. This will be proven using some experiments and some analytical arguments. These results give more applicability to static BSF algorithms and call for more research on dynamic BSF algorithms.
机译:我们在本文中研究了蓝牙散射网(BSF)算法的蓝牙规范版本1.2版中所引入的修改。到目前为止,尚未分析这些修改对BSF算法的影响。我们展示:1)蓝牙Ver1.2和向上对静态BSF算法具有主要的积极影响(即需要外部设备发现阶段的那些)。我们对静态BSF算法进行了常见的设备发现技术进行了一些实验,并使用Ver1.2和Ver1.1进行了其性能(后者在大多数BSF研究中使用)。我们发现,使用Ver1.2的这种技术会产生比使用Ver1.1的速度快3.5倍的连接拓扑。它还发现了约20%的边缘。 2)另一方面,动态算法不受这些修改的影响。这将被证明使用一些实验和一些分析论点。这些结果对静态BSF算法提供了更适用性,并呼叫对动态BSF算法的更多研究。

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