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Volume 41 Issue 4
Mar.  2019
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Taifei ZHAO, Shan XU, Yao QU, Jing WANG, Jie ZHANG. Cluster-based Algorithm of Reconnaissance UAV Swarm Based on Wireless Ultraviolet Secret Communication[J]. Journal of Electronics & Information Technology, 2019, 41(4): 967-972. doi: 10.11999/JEIT180491
Citation: Taifei ZHAO, Shan XU, Yao QU, Jing WANG, Jie ZHANG. Cluster-based Algorithm of Reconnaissance UAV Swarm Based on Wireless Ultraviolet Secret Communication[J]. Journal of Electronics & Information Technology, 2019, 41(4): 967-972. doi: 10.11999/JEIT180491

Cluster-based Algorithm of Reconnaissance UAV Swarm Based on Wireless Ultraviolet Secret Communication

doi: 10.11999/JEIT180491
Funds:  The National Natural Science Foundation of China-CAAC Civil Aviation Joint Research Foundation (U1433110), The Science and Technology Plan Project of Xi’an Beilin Area (GX1617), The Service Local Special Plan Project of Shaanxi Province Education Department (17JF024), The Open Foundation of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province (17kftk04), The Xi’an Science Project (CXY1835(4)), The Shaanxi Key Industry Chain Innovation Project (2017ZDCXL-GY-05-03)
  • Received Date: 2018-05-22
  • Rev Recd Date: 2018-12-11
  • Available Online: 2018-12-26
  • Publish Date: 2019-04-01
  • Focusing on the reconnaissance mission of Unmanned Aerial Vehicle (UAV) swarm under complex battlefield environment, the non-uniform energy consumption during the information transmission between UAVs affects the efficient implementation of the reconnaissance mission, thus a cluster-based algorithm of reconnaissance UAV swarm based on wireless ultraviolet secret communication is proposed. Combined the advantages of wireless ultraviolet scattering communication, this algorithm uses cluster topology management mechanism to balance the energy consumption of UAV swarm. Simulation results show that the algorithm can effectively balance the network energy consumption and improve the transmission efficiency of the network when compared with the existing algorithm, and the lifetime of swarm can be extended when selecting the appropriate packet length and node density.

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