IMOC: Optimization Technique for Drone-Assisted VANET (DAV) Based on Moth Flame Optimization

Table 3

Parameters for simulation.

Parameters	IMOC	CLPSO	GWO	ACO
Total population size	100	100	100	100
Maximum number iteration	150	150	150	150
Total runs	10	10	10	10
Weight for inertia	0.90	0.694	0.694	—
Rate of evaporation	—	—	—	0.5
C1	2	2	2	2
C2	2	2	2	2
Grid size for simulation	500 m^2, 1000 m^2, 1500 m^2, 2000 m^2	500 m^2, 1000 m^2, 1500 m^2, 2000 m^2	500 m^2, 1000 m^2, 1500 m^2, 2000 m^2	500 m^2, 1000 m^2, 1500 m^2, 2000 m^2
Number of vehicles	10 to 100	10 to 100	10 to 100	10 to 100
Interval between vehicles	+20	+20	+20	+20
Transmission ranges	25 m to 200 m	25 m to 200 m	25 m to 200 m	25 m to 200 m
Vehicle position	Fixed	Fixed	Fixed	Fixed
Minimum_distance between vehicles	1.5 m	1.5 m	1.5 m	1.5 m
Maximum_distance between vehicles	5 m	5 m	5 m	5 m
W1 (1st objective function’s weight)	0.5	0.5	0.5	0.5
W2 (2nd objective function’s weight)	0.5	0.5	0.5	0.5