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Performance of network formation and scheduling algorithms in the Bluetooth wireless ad-hoc network

机译:蓝牙无线自组织网络中网络形成和调度算法的性能

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摘要

Bluetooth is a promising new technology for short range, low power, low cost, pico-cellular wireless connectivity between mobile devices. Efficient clustering or topology construction algorithms play a very important role in the fast connection establishment of such networks. The performance of these algorithms is mainly dependent on the device discovery time, i.e., the time taken by a node to discover and to connect to another node in its radio range, as well as the protocols used for organizing them into the required topology. We define metrics for device discovery performance and evaluate them by simulating the inquiry routine in Bluetooth for various ad-hoc scenarios. We indicate the scenario where device discovery in Bluetooth can become a bottleneck. We then describe some recent results on topology construction algorithms for Bluetooth. Data applications running over Bluetooth such as http, ftp and real audio will need transport layer protocols such as TCP and UDP to send packets over the wireless links. We propose and compare a number of MAC scheduling algorithms with the aim of improving the performance of asynchronous data traffic over a Bluetooth piconet that supports multiple active slaves. We study how the presence of circuit-switched voice impacts the performance of data traffic.
机译:蓝牙是一种有前景的新技术,可用于移动设备之间的短程,低功耗,低成本,微微小区无线连接。高效的群集或拓扑构造算法在此类网络的快速连接建立中起着非常重要的作用。这些算法的性能主要取决于设备发现时间,即节点发现并连接到其无线电范围内的另一个节点所花费的时间,以及用于将它们组织成所需拓扑的协议。我们定义了设备发现性能的指标,并通过针对各种特殊情况模拟蓝牙中的查询例程来评估它们。我们指出了蓝牙中的设备发现可能成为瓶颈的情况。然后,我们描述有关蓝牙拓扑构建算法的一些最新结果。通过蓝牙运行的数据应用程序(例如http,ftp和真实音频)将需要传输层协议(例如TCP和UDP)来通过无线链路发送数据包。我们提出并比较了许多MAC调度算法,目的是通过支持多个活动从站的蓝牙微微网提高异步数据流量的性能。我们研究了电路交换语音的存在如何影响数据流量的性能。

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