A trajectory-aware routing algorithm for unmanned aerial vehicle networks
Fan Zhang, Hang Gao, Liang Liu, Ningwei Li, Wenxuan Wang · 2019
UAV is widely used in many scenarios such as search, rescue, border monitoring and so on. Multi-UAV routing is the key technology to forward sensory data to the users. The existing algorithms are inefficient because they only use historical and current network status for routing. In most cases, the trajectories of UAVs are planned before performing the task, they are known in advance. According to this information, the messages can be sent to the node that has a better routing path in the future, which can improve the routing performance. In this paper, we design and implement a trajectory-aware UAV routing algorithm TARA. Given the trajectory information of each drone, we can know the network topology in the future. Based on this information, we construct a topology change model and take advantage of it to refine message forwarding decisions. The experimental results show that TARA is superior to the existing routing algorithm in terms of delay, delivery rate and expense rate in most cases.