Table 1 Parameters for Our Proposed QL-based DQMAC Scheme
From: A Q-learning-based distributed queuing Mac protocol for Internet-of-Things networks
Simulation time | 10,000 s |
Number of IoT nodes | 100 |
Bounded region | 200 m \(\times\) 200 m |
Channel data rate | 2 Mbps |
Number of contention nodes | 3, 4, 5, \(\ldots\), 49 and 50 |
Number of SAR slots for one contention period | 3 |
Variation in the number of contention nodes (d) | 1 |
Power consumption for transmission | 24.75 mW |
Power consumption for reception | 13.5 mW |
Power consumption for listening | 13.5 mW |
Power consumption for sleeping | 15 \(\upmu\)W |
Discount factor (\(\gamma\)) | 0.9 |
Learning rate (\(\alpha\)) | 0.1 |