Research Article

A Dynamic Trajectory Control Algorithm for Improving the Probability of End-to-End Link Connection in Unmanned Aerial Vehicle Networks

• @INPROCEEDINGS{10.1007/978-3-319-47081-8_9,
      author={Daisuke Takaishi and Hiroki Nishiyama and Nei Kato and Ryu Miura},
      title={A Dynamic Trajectory Control Algorithm for Improving the Probability of End-to-End Link Connection in Unmanned Aerial Vehicle Networks},
      proceedings={Personal Satellite Services. Next-Generation Satellite Networking and Communication Systems. 6th International Conference, PSATS 2014, Genoa, Italy, July 28--29, 2014, Revised Selected Papers},
      proceedings_a={PSATS},
      year={2017},
      month={1},
      keywords={Unmanned Aircraft System (UAS) Unmanned Aerial Vehicle (UAV) End-to-End link connection},
      doi={10.1007/978-3-319-47081-8_9}
  }
  

• Daisuke Takaishi
  Hiroki Nishiyama
  Nei Kato
  Ryu Miura
  Year: 2017
  A Dynamic Trajectory Control Algorithm for Improving the Probability of End-to-End Link Connection in Unmanned Aerial Vehicle Networks
  PSATS
  Springer
  DOI: 10.1007/978-3-319-47081-8_9

     the Unmanned Aircraft Systems (UASs) have attracted great attention to provide various services. However, the Unmanned Aeria Vehicle (UAV) network which is constructed with multiple UAVs is prone to frequent disconnection. This is why the UAV-to-UAV links are constructed with two UAVs with high mobility. In such a disconnected network, ground-nodes cannot communicate with other ground-nodes with End-to-End link and the communication failure. Because the UAVs fly along with a commanded trajectory, the trajectories are the most important to decide UAV network performance. In this paper, we propose a effective UAVs’ trajectory decision scheme.