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A Synchronous Tiered Based Clustering Algorithm for large-scale Ad hoc Networks

机译:大规模Ad hoc网络的一种基于分层同步的聚类算法。

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Relaying on a virtual backbone formed by the induced hierarchy of a connected dominating set is a widespread solution in ad hoc networks. However, the majority of existing approaches require gathering neighborhood information without considering the loss of information due to collision and the effect of wireless interference and its impact on the accuracy of information used during clustering process. In this paper, we present an improved version of our clustering algorithm, TBCA, operating in layered manner and exploiting the eventual collision to accelerate the clustering process. We prove through simulations that our mechanism outperforms other ones, in terms of effectiveness throughput and per-packet sojourn delay. Conducted simulations show also that it copes better with mobility.
机译:在ad hoc网络中,一种广泛的解决方案是在由连接的主导集的诱导层次结构形成的虚拟主干上进行中继。但是,大多数现有方法都需要收集邻域信息,而无需考虑由于冲突以及无线干扰的影响及其对聚类过程中使用的信息准确性的影响而造成的信息丢失。在本文中,我们提出了聚类算法TBCA的改进版本,它以分层方式运行,并利用最终的冲突来加速聚类过程。我们通过仿真证明,在有效性吞吐量和每包延期延迟方面,我们的机制优于其他机制。进行的仿真还表明,它可以更好地应对移动性。

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