Research Article
Optimal Clustering in Wireless Sensor Networks for the Internet of Things Based on Memetic Algorithm: memeWSN
| Parameters | Value | Parameters | Value |
| 3d beam width | 360 degrees | Simulation time | 50 min | Pointing direction | 90 degrees | Max () | 1000 m | Angular speed | 0 degrees/sec | Max () | 1000 m | Link bandwidth | 11 Mbps | Node space | | Frequency channel | 3 | Number of nodes | 50-500 | Bit error rate | 0.0 | Data packet size | 1200 bytes | Frequency (MHz) | 2400 | Mobility speed | 1, 5, 10 m/sec | Transmission power | 15 dbm | Shadowing standard deviation | 4.0 | Carrier sense threshold | 57 dbm | Close in reference distance | 1.0 m | Antenna gain | 1.0 dbi | System loss | 1.0 | Fading variation | 10.0 | Antenna height | 1.5 m | Average building height | 10 m | Ricean factor | 10.0 db | Street width | 30 m | Max queue length | 50 pkts | Path loss exponent | 2.0 | RTS threshold | 3000 bytes |
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