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Volume 42 Issue 12
Dec.  2020
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Taifei ZHAO, Yaru LIN, Qianwen MA, Borui ZHENG. Energy Balance Algorithm for Wireless Ultraviolet Secret Communication in UAV Formation[J]. Journal of Electronics & Information Technology, 2020, 42(12): 2969-2975. doi: 10.11999/JEIT190965
Citation: Taifei ZHAO, Yaru LIN, Qianwen MA, Borui ZHENG. Energy Balance Algorithm for Wireless Ultraviolet Secret Communication in UAV Formation[J]. Journal of Electronics & Information Technology, 2020, 42(12): 2969-2975. doi: 10.11999/JEIT190965

Energy Balance Algorithm for Wireless Ultraviolet Secret Communication in UAV Formation

doi: 10.11999/JEIT190965
Funds:  The National Natural Science Foundation of China (61971345), The Scientific Research Program Funded by Shaanxi Provincial Education Department (17JF024), The Shaanxi Key Industry Chain Innovation (2017ZDCXL-GY-05-03), The Science and Technology Plan Project of Xi’an Beilin Area (GX1921), The Xi’an Science Project (CXY1835(4))
  • Received Date: 2019-12-02
  • Rev Recd Date: 2020-01-20
  • Available Online: 2020-11-13
  • Publish Date: 2020-12-08
  • In view of secret communication among unmanned aerial vehicles under the strong electromagnetic interference environment, this paper proposes the energy balance algorithm for wireless ultraviolet secret communication in Unmanned Aerial Vehicle (UAV) formation. The proposed algorithm combines the advantages of ultraviolet in non-line-of-sight and low eavesdropping, overcomes the disadvantage of the traditional radio, which can easily be monitored. It can provide reliable assurance for the leader to collect information of wingmen while balancing the energy consumption. The improved algorithm is proposeal based on cluster mechanism via introducing the priority function, which considers distance and residual energy. Adopting the improved algorithm to simulate under two scenarios in which UAVs are deployed randomly or UAVs are deployed in circle formation respectively, the simulation results show that the time of 50% death nodes occurring in UAV network is prolongal by 12% and 16% respectively under two types of deployment, and the improved algorithm can effectively balance the communication energy consumption of the network and prolong the survival time of UAV network.

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