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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Practical Asynchronous Neighbor Discovery in Ad Hoc Networks With Directional Antennas
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Practical Asynchronous Neighbor Discovery in Ad Hoc Networks With Directional Antennas

机译:带有定向天线的Ad Hoc网络中的实用异步邻居发现

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摘要

Neighbor discovery is a crucial step in the initialization of wireless ad hoc networks. When directional antennas are used, this process becomes more challenging since two neighboring nodes must be in transmit and receive states, respectively, pointing their antennas to each other simultaneously. Most of the proposed neighbor discovery algorithms only consider the synchronous system and cannot work efficiently in the asynchronous environment. However, asynchronous neighbor discovery algorithms are more practical and offer many potential advantages. In this paper, we first analyze a one-way handshake-based asynchronous neighbor discovery algorithm by introducing a mathematical model named Then, we extend it to a hybrid asynchronous algorithm that leads to a 24.4% decrease in the expected time of neighbor discovery. Compared with the synchronous algorithms, the asynchronous algorithms require approximately twice the time to complete the neighbor discovery process. Our proposed hybrid asynchronous algorithm performs better than both the two-way synchronous algorithm and the two-way asynchronous algorithm. We validate the practicality of our proposed asynchronous algorithms by OPNET simulations.
机译:邻居发现是无线自组织网络初始化中的关键步骤。当使用定向天线时,此过程变得更具挑战性,因为两个相邻节点必须分别处于发送和接收状态,同时将它们的天线指向彼此。大多数提议的邻居发现算法仅考虑同步系统,而不能在异步环境中有效地工作。但是,异步邻居发现算法更加实用,并具有许多潜在的优势。在本文中,我们首先通过引入一个名为的数学模型来分析基于单向握手的异步邻居发现算法。然后,我们将其扩展到一种混合异步算法,这将使邻居发现的预期时间减少24.4%。与同步算法相比,异步算法大约需要两倍的时间来完成邻居发现过程。我们提出的混合异步算法的性能优于双向同步算法和双向异步算法。我们通过OPNET仿真验证了我们提出的异步算法的实用性。

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