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An Efficient Relayed Broadcasting Based on the Duplication Estimation Model for IoT Applications

机译:基于重复估计模型的物联网应用高效中继广播

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摘要

In this paper, we consider relay-based broadcasting in wireless ad hoc networks, which can enable various emerging services in the Internet of Things (IoT). In this kind of traffic dissemination scheme, also known as flooding, all the nodes not only receive frames but also rebroadcast them. However, without an appropriate relay suppression, a broadcast storm problem arises, i.e., the transmission may fail due to severe collisions and/or interference, many duplicate frames are unnecessarily transmitted, and the traffic dissemination time increases. To mitigate the broadcast storm problem, we propose a reasonable criterion to restrict the rebroadcasting named the duplication ratio. Based on this, we propose an efficient mechanism consisting of duplication suppression and re-queuing schemes. The former discards duplicate frames proactively in a probabilistic manner to decrease the redundancy whereas the latter provides a secondary transmission opportunity reactively to compensate for the delivery failure. Moreover, to apply the duplication ratio practically, we propose a simple method to approximate it based on the number of adjacent nodes. The simulation study confirms that the proposed mechanism tightly ensured the reliability and decreased the traffic dissemination time by up to 6-fold compared to conventional mechanisms.
机译:在本文中,我们考虑了无线ad hoc网络中基于中继的广播,该广播可以启用物联网(IoT)中的各种新兴服务。在这种流量分配方案中,也称为泛洪,所有节点不仅接收帧,而且还广播它们。但是,如果没有适当的中继抑制,则会出现广播风暴问题,即,传输可能由于严重的冲突和/或干扰而失败,不必要地传输许多重复帧,并且业务分配时间增加。为了缓解广播风暴问题,我们提出了一个合理的标准来限制转播,即重复率。在此基础上,我们提出了一种由复制抑制和重排队方案组成的有效机制。前者以概率方式主动丢弃重复帧以减少冗余,而后者则被动地提供次要传输机会以补偿传递失败。此外,为了实际应用重复率,我们提出了一种基于相邻节点数对其进行近似的简单方法。仿真研究证实,与传统机制相比,该机制可确保可靠性,并减少了6倍的流量传播时间。

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