UAV deployment and channel allocation considering diverse QoS constraints and service importance

Task Assignment Optimization in Multi-UAV-Assisted WSNs Considering Energy Budget and Sensor Distribution Characteristics

“…Shen et al considered the UAV’s energy budget and cache capacity, as well as the data transmission constraints of IoT services, when optimizing the UAV’s trajectory and hover position to minimize the UAV’s data and total running time [ 26 ]. Liu et al considered the different levels of importance and quality of service requirements of sensors in data collection [ 27 ]. Luo et al proposed an efficient iterative algorithm to optimize 3D path planning and time allocation for UAV [ 13 ].…”

“…UAV's energy budget and cache capacity, the data transmission constraints [27] Maximization of the throughput of the UAVs hovering location, UAV-sensor association scheme Different importance levels and quality of service requirements of sensors [13] Maximum and minimum data collection rate UAV time allocation, UAV 3-D path planning Energy consumption [28] Minimization of flight length of UAV UAV collision avoidance, UAV path planning Avoiding collisions our work Minimization of the task completion time of all the UAVs UAV path planning, UAV hovering point, UAV task assignment Energy budget of the UAV, the importance of sensors, the sensors' distribution characteristics…”

“…In some emergency situations, such as disaster area monitoring, geological surveys, and industrial emergencies, there are strict deadlines for completing data collection tasks, which poses a challenge to the rapid and efficient flight and data collection of UAVs. In order to shorten the task completion time, several related studies have been carried out [ 13 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ]. For clarity, the comparison of the related works and our work is presented in Table 1 .…”