Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
