Decision Fusion on Synthetic Sensor Network with Independent Byzantines m=4, n=20, epsilon=0.1
3.5Error RateOPT
Evaluation Results
| Method | Links | |
|---|---|---|
| OPTalpha=0.3, m=4, n=20, epsilon=0.12025.11 | 3.5 | |
| SoftISalpha=0.3, m=4, n=20, epsilon=0.12025.11 | 4.1 | |
| HardISalpha=0.3, m=4, n=20, epsilon=0.12025.11 | 4.8 | |
| Majalpha=0.3, m=4, n=20, epsilon=0.12025.11 | 7.3 | |
| OPTalpha=0.4, m=4, n=20, epsilon=0.12025.11 | 19.2 | |
| SoftISalpha=0.4, m=4, n=20, epsilon=0.12025.11 | 20.1 | |
| HardISalpha=0.4, m=4, n=20, epsilon=0.12025.11 | 21.1 | |
| Majalpha=0.4, m=4, n=20, epsilon=0.12025.11 | 23.9 | |
| OPTalpha=0.45, m=4, n=20, epsilon=0.12025.11 | 33.1 | |
| SoftISalpha=0.45, m=4, n=20, epsilon=0.12025.11 | 33.8 | |
| HardISalpha=0.45, m=4, n=20, epsilon=0.12025.11 | 34.4 | |
| Majalpha=0.45, m=4, n=20, epsilon=0.12025.11 | 36.2 |