Multi-UAV Cooperative Assisted RSU Data Acquisition Strategy considering Coverage Quality

Table 1

The key information of the related literature.

Reference	Application field	Optimization objective	Algorithm of UAVs	Number type	Overlay
[3]	Road patrol	Time	Immune clonal selection algorithm (ICSA) and time-priority method	Fixed	All
[6]	RSU data collection	Time	Genetic algorithm (GA) and harmony search (HS)	Fixed	All
[15]	Task planning	Time	GA and cluster algorithm	Variable	All
[18]	Task planning	Time	Swap-and-judge simulated annealing (SJSA)	Fixed	All
[14]	Monitoring wildfires in remote areas	Energy	Hybrid gray wolf optimization (HGWO)	Fixed	All
[20]	Data collection in mobile edge computing	Energy	Ant colony system (ACS)	Fixed	All
[22]	Reconnaissance task allocation	Time and energy	Grouping ant colony optimization algorithm (GACO)	Fixed	All
[25]	Oilfield inspection	Time	An improved fruit fly optimization algorithm (ORPFOA)	Fixed	All
[26]	Task allocation	Time and energy	Clone selection algorithm (CSA)	Fixed	All
[27]	Task allocation	Energy and revenue	Violence allocation algorithm; constraint optimization evolutionary algorithm; PSO algorithm; greedy algorithm combined with a constraint evolutionary algorithm	Fixed	All
[7]	Forest fire early warning and monitoring	Time and coverage	Heuristic algorithm weighted targets sweep coverage (WTSC)	Fixed	Partial
[28]	Coverage-based path planning (CBPP) problem	Coverage rate	Genetic algorithm with adaptive operator selection	Fixed	Partial
In this paper	RSU data collection	Time, energy, and coverage	Hybrid weighted gray wolf and whale optimization algorithm (HWGWOA)	Variable	Partial