# Data-Driven Packet Loss Estimation for Node Healthy Sensing in Decentralized Cluster
## 4 The PingBasedDown Algorithm
### Decision Model
#### 4.2.2 Leader Determination Module
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\begin{tabular}{c c c c c} \hline \hline
**Size of Cluster** & **Faulty Nodes** & **Packet Loss Rate (\%)** & **Detection Rate \(\mathcal{R}_{D}\) (\%)** & **Mis-Kicking Rate \(\overline{\mathcal{R}_{k}}\) (\%)** \\ \hline
5 & \(3,4\) & \(15,15\) & \(5.0\) & \(29.4\) \\
5 & \(3,4\) & \(25,25\) & \(32.3\) & \(43.4\) \\
5 & \(3,4\) & \(40,40\) & \(31.9\) & \(8.9\) \\
7 & \(4,5,6\) & \(15,15,15\) & \(9.1\) & \(27.8\) \\
7 & \(4,5,6\) & \(25,25,25\) & \(50.2\) & \(48.1\) \\
7 & \(4,5,6\) & \(40,40,40\) & \(57.7\) & \(33.0\) \\ \hline \hline \end{tabular}
\end{table} 
Table 8: The system-level testing results with the original AutoDown mechanism of Akka. Each group is tested for 6 h.

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