Research Article
Neighborhood Kalman Estimation for Distributed Localization in Wireless Sensor Networks
Table 1
Comparison results of accuracy for the CNKF and AFL algorithms.
| Conditions | MLE (m) | GER (%) | (m) | | AFL | CNKF | Enhanced | AFL | CNKF | Enhanced |
| 15 | ≈7 | 0.040 | 0.020 | 50% | 0.15 | 0.05 | 67% | 20 | ≈10 | 0.035 | 0.015 | 57% | 0.15 | 0.05 | 67% | 25 | ≈15 | 0.035 | 0.015 | 57% | 0.15 | 0.05 | 67% | 30 | ≈20 | 0.040 | 0.015 | 63% | 0.20 | 0.05 | 75% | 35 | ≈27 | 0.045 | 0.015 | 67% | 0.25 | 0.05 | 80% | 40 | ≈35 | 0.050 | 0.015 | 70% | 0.25 | 0.05 | 80% |
|
|
: communication radius. : average connectivity.
|