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Distributed robust time-efficient broadcasting algorithms for multi-channel wireless multi-hop networks with channel disruption

机译:具有信道中断的多信道无线多跳网络的分布式鲁棒的省时广播算法

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摘要

Broadcasting is a fundamental problem for wireless multi-hop networks such as wireless ad hoc and sensor networks. In this paper, we study distributed robust time-efficient global broadcasting for SINR-based (i.e., Signal-to-Interference-plus-Noise-Ratio-based) multi-channel wireless multihop networks subject to channel disruption. In this study, we make the following assumptions: i) for successful packet reception, the SINR at receivers must exceed a certain threshold; ii) an adversary exists in the network, which uniformly and randomly chooses t > 0 channels to disrupt from total F > 1 available channels in every round. To address the broadcasting issue in such networks, we first propose a degree-aware broadcasting algorithm and then propose a degree-independent broadcasting algorithm. The proposed algorithms elaborately integrate distributed channel selection and transmission scheduling at different nodes while considering the following factors: the impact of SINR constraint, availability of channels, sending probability on selected channel, presnce of adversary, with and without node degree information. We present the detailed design of the two algorithms. We deduce their worst-case time performance to accomplish the task of global broadcasting with high probability. We further prove that both algorithms can still preserve the same time performance under more powerful oblivious adversary and weakly adaptive adversary. Simulation results show that the proposed algorithms have satisfactory average-case time performance.
机译:对于诸如无线自组织和传感器网络之类的无线多跳网络,广播是一个基本问题。在本文中,我们研究了受信道中断影响的基于SINR(即基于信号干扰加噪声比的多径无线多跳)网络的分布式鲁棒的省时全球广播。在这项研究中,我们做出以下假设:i)为了成功接收数据包,接收器的SINR必须超过特定阈值; ii)网络中存在一个对手,该对手在每个回合中随机且随机地选择t> 0个频道,以扰乱总F> 1个可用频道。为了解决这种网络中的广播问题,我们首先提出了一种知道度的广播算法,然后提出了一种与度无关的广播算法。所提出的算法在考虑以下因素的情况下,精心集成了不同节点上的分布式信道选择和传输调度:SINR约束的影响,信道的可用性,所选信道上的发送概率,存在和不存在节点等级信息的对手。我们介绍两种算法的详细设计。我们推断出他们在最坏情况下的时间表现,从而很有可能完成全球广播的任务。我们进一步证明,在更强大的遗忘对手和弱适应对手下,两种算法仍可以保留相同的时间性能。仿真结果表明,该算法具有令人满意的平均时间性能。

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