Dynamic Optimization Method of Wireless Network Routing Based on Deep Learning Strategy

Table 3

Simulation experiment parameter setting table.

Experimental parameters	Parameter value
Sink energy	Unlimited
Sink position	Top right corner of the web
Communicate radius (communication radius)	0–50 m
Nodes distribution	Random
Sensor number (number of nodes)	50–130 pieces
Sensor energy (node energy)	5–10 J
Scene (simulation area)	100 × 100 m^2
Packet size	3000 (bit)
Sink number (sink number)	1
Simulation times	100 times