NS-2中多信道广播分组的研究
A Tutorial on Broadcasting Packets over Multiple-Channels in a Multi-Inferface Network Setting in NS-2
摘要：
随着更便宜的电子设备的激增，现在可以在多接口网络中通过多信道进行无线通信。例如，无线传感器节点现在可以在多个信道上运行。此外，认知无线电传感器网络也在不断发展，它也在多信道上运行。在市场上，我们可以找到可以支持多通道操作的天线，例如用于无线传感器节点之间通信的cc 2420天线由16个可编程通道组成。多信道的合理利用降低了节点间的干扰，提高了网络的吞吐量。最近，一个认知无线电认知网络（CRCN）补丁NS-2模拟器提出了支持多信道多接口能力在NS-2。在本教程中，我们考虑如何使用NS-2模拟器模拟多通道多接口无线网络。本教程是为初学NS-2的用户准备的，希望了解NS-2中多通道多接口的实现。我们采取认知无线电认知网络（CRCN）补丁NS-2模拟器，并演示了在多接口网络设置多信道广播。在我们的设置中，节点braodcast的问候数据包到它的邻居。当且仅当相邻节点调谐到相同的信道时，它们才接收Hello数据包。我们通过例子证明接收器的调谐可以以两种方式完成。
英文摘要：
With the proliferation of cheaper electronic devices, wireless communication over multiple-channels in a multi-interface network is now possible. For instace, wireless sensor nodes can now operate over multiplechannels. Moreover, cognitive radio sensor networks are also evolving, which also operates over multiple-channels. In the market, we can find antennas that can support the operation of multiple channels, for e.g. the cc2420 antenna that is used for communication between wireless sensor nodes consists of 16 programmable channels. The proper utilization of multiple-channels reduces the interference between the nodes and increase the network throughput. Recently, a Cognitive Radio Cognitive Network (CRCN) patch for NS-2 simulator has proposed to support multi-channel multi-interface capability in NS-2. In this tutorial, we consider how to simulate a multi-channel multiinterface wireless network using the NS-2 simulator. This tutorial is trageted to the novice users who wants to understand the implementation of multi-channel multi-interface in NS-2. We take the Cognitive Radio Cognitive Network (CRCN) patch for NS-2 simulator and demonstrate broadcasting over multiple-channels in a multi-interface network setting. In our seeting, node braodcasts the Hello packets to its neighbors. Neighboring nodes receive the Hello packets if and only if they are tuned to the same channel. We demonstrate through example that the tuning of receivers can be done in two fashions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
