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No 4. Constraints
Different types of drones may be assigned to the same mission. In this context, UAV networks can be divided into homogeneous and heterogeneous networks.
This paper [24] proposes a multi-UAV coverage model based on energy-saving communication.
In [25], the optimal beacon control for infectious disease routing in an energy-saving tolerant network based on energy efficiency is proposed.
In [26], the position and movement of the drone are optimized to improve the wireless network connection.
For the hierarchical UAV network [28], a low-latency routing algorithm (LLRA) is designed to provide high-quality services (QoS) for mobile. |