Table 4 A comparison between Q-learning TCP and other well-known TCP solutions
Fairness solution | Fairness enhancement | Throughput enhancement | Disadvantage |
|---|---|---|---|
LRED [8] | Slight increase | 5 to 30% increase | Overhead caused by broadcast messages and fixed transmission delay |
NRED [46] | Effective increase (Jain’s fairness index of 99% in a chain topology) | Up to 12% increase | Excessive overhead caused by broadcast messages (over 60%) |
TCP-AP [47] | Effective increase (Jain’s fairness index of 99% in a chain topology) | Drastic decrease (up to 50%) | Reliance on RSSI and excessive transmission delay |
TCP exMachina [47] | Decrease (Jain’s fairness index of 84% in a chain topology) | Slight increase | Excessive learning time and computational resource requirement |
Q-learning TCP | Effective increase (Jain’s fairness index of 99% in a chain topology) | Slight decrease | Medium computational overhead |