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Autonomous fault-diagnosis and decision-making algorithm for determining faulty nodes in distributed wireless networks

机译:确定分布式无线网络中故障节点的自主故障诊断与决策算法

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In this paper, we address fault-diagnosis agreement (FDA) problems in distributed wireless networks (DWNs) with arbitrary fallible nodes and healthy access points. We propose a new algorithm to reach an agreement among fault-free members about the faulty ones. The algorithm is designed for fully connected DWN and can also be easily adapted to partially connected networks. Our contribution is to reduce the bit complexity of the byzantine agreement process by detecting the same list of faulty units in all fault-free members. Therefore, the malicious units can be removed from other consensus processes. Also, each healthy unit detects a local list of malicious units, which results in lower packet transmissions in the network. Our proposed algorithm solves FDA problems in 2t+1 rounds of packet transmissions, and the bit complexity in each wireless node is O(nt+1).
机译:在本文中,我们解决了具有任意易失节点和健康访问点的分布式无线网络(DWN)中的故障诊断协议(FDA)问题。我们提出了一种新算法,以使无故障成员之间就故障成员达成一致。该算法专为完全连接的DWN设计,也可以轻松地应用于部分连接的网络。我们的贡献是通过在所有无故障的成员中检测故障单元的相同列表来减少拜占庭协议过程的位复杂度。因此,可以将恶意单元从其他共识过程中删除。此外,每个健康单元都会检测到本地恶意列表,从而导致网络中的数据包传输减少。我们提出的算法解决了2t + 1轮包传输中的FDA问题,每个无线节点中的比特复杂度为O(nt + 1)。

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