A Novel Mining Approach for Data Analysis and Processing Using Unmanned Aerial Vehicles

Table 2

Simulation results for mining mission inside a subarea.

Time	Alg.	Sub-region	Efficient UAV 3-D	Reference RPGM	Average pathloss	Pathloss
Step			Placement	Model placement	Usr-UAV	UAV-GCs
T1	PSO	0–200	(472, 58.379, 100)	(230.81, 86.72, 0)	122.1563	122.094
	GA		(470.22, 56.01, 102.74)		122.1650
T2	PSO	200–400	(409, 293.248, 100)	(245.38, 300.45, 0)	120.7329	120.7300
	GA		(409.3761, 293.6445, 100)		120.7400
T3	PSO	400–600	(310, 518.708, 100)	(255.06, 519.13, 0)	120.0709	119.9504
	GA		(312.42, 520.07, 100)		120.0714
T4	PSO	600–800	(237, 723.795, 100)	(213.89, 716.78,0)	119.8564	119.641
	GA		(239.10, 702.38, 100)		119.700
T5	PSO	800–1000	(200, 903.039, 100)	(228.72, 903.46, 0)	119.6643	119.5821
	GA		(203.88, 908.61, 100.06)		119.6856
T6	PSO	1000–1200	(250, 1.1112e + 03, 100)	(260, 1101.8, 0)	119.6257	119.0550
	GA		(251.42 1.1112e + 03 100)		119.6258
T7	PSO	1200–1400	(271, 1.2872e + 03, 100)	(237.8, 1283.5, 0)	119.3638	119.3418
	GA		(272.6354, 1.2923e + 03, 101.3710)		119.4084
T8	PSO	1400–1600	(327, 1.4976e + 0,3 100)	(231.2, 1483.5, 0)	120.0784	119.9063
	GA		(328.40 1.4974e + 03 100)		120.0877
T9	PSO	1600–1800	423, 1.7112e + 03, 100)	(262.9, 1713.5, 0)	120.7655]	120.6787
	GA		(428.29 1.7084e + 03 100.54)		120.8518
T10	PSO	1800–2000	(443, 1.8982e + 03, 100)	(214.1, 1885.6, 0)	122.0125	121.9112
	GA		(454.91 1.8977e + 03 101.68)		122.2650