Network Evolution Algorithm of Unmanned Aerial Vehicle Flocking Based on Two-hop Common Neighbor
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National Major Science and Technology Innovation Project (N161608001)

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    Abstract:

    The disturbance facing by UAV (unmanned aerial vehicle) flocking in the process of carrying out tasks post a new challenge to the reliability of the flocking communication network. To this end, a two-hop common neighbor metric is proposed to reflect the heterogeneity of network and the similarity between nodes simultaneously. Considering network initialization stage and network maintenance stage, a LPTCN (link prediction based on two-hop common neighbors) network evolution algorithm is proposed. Mathematical analysis and simulation experiments are applied to verify the validity of the algorithm. The results show that UAV flocking communication network constructed by the LPTCN network evolution algorithm has great survivability and invulnerability, and the communication network reliability can be guaranteed in the case of random attack and deliberate attack.

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于冲,司帅宗,赵海,朱剑,邵士亮,刘佳良.基于二跳共同邻居的无人机群体网络演化算法.软件学报,2020,31(11):3559-3570

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History
  • Received:May 03,2018
  • Revised:November 02,2018
  • Adopted:
  • Online: November 07,2020
  • Published: November 06,2020
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