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DAPF: An Efficient Flooding Algorithm for Mobile Ad-hoc Networks

机译:DAPF:一种用于移动ad-hoc网络的有效洪水算法

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Flooding algorithm is one of the most important fundamental operations for routing protocols in mobile ad hoc networks. Since flooding algorithm generates many redundant messages, it is usually very costly that leads to consume scarce resources such as bandwidth and battery powers in mobile ad hoc networks. It also causes a problem known as the broadcast storm. Many schemes are proposed to improve the performance of flooding algorithm that are mainly classified into two basic approaches: overlay based and local knowledge based approaches, which the second one is more considered. The existing schemes either increase the latency or decrease the reachability of the algorithm. In this paper, we propose a new scheme to improve the performance of flooding algorithm. The basis of the new method is the probabilistic rebroadcasting based on local observations. In this method, the rebroadcast probability of each node is a function of time and local observations. Simulation results show that the new scheme achieves better performance in terms of overhead and latency than similar existing schemes while maintaining the reachability.
机译:泛洪算法是移动临时网络中的路由协议最重要的基本操作之一。由于洪水算法生成了许多冗余消息,因此通常非常昂贵,导致移动临时网络中的带宽和电池功率等稀缺资源。它还引起了称为广播风暴的问题。提出了许多方案来提高主要分为两种基本方法的洪水算法的性能:基于覆盖的和基于本地知识的方法,第二种方法更加考虑。现有方案可以增加延迟或降低算法的可达性。在本文中,我们提出了一种提高洪水算法性能的新方案。新方法的基础是基于本地观测的概率rebborco.cnting。在此方法中,每个节点的rebborcoadcast概率是时间和本地观测的函数。仿真结果表明,该新方案在保持可达性的同时,新方案比现有方案的开销和延迟更好地实现了更好的性能。

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