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Cooperative Search Strategies of Multiple UAVs Based on Clustering Using Minimum Spanning Tree

  • Tao Zhu
  • Weixiong HeEmail author
  • Haifeng Ling
  • Zhanliang Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10942)

Abstract

Rate of revenue (ROR) is significant for unmanned aerial vehicle (UAV) to search targets located in probabilistic positions. To improve search efficiency in a situation of multiple static targets, this paper first transfers a continuous area to a discrete space by grid division and proposes some related indexes in the UAV search issue. Then, cooperative strategies of multiple UAVs are studied in the searching process: clustering partition of search area based on minimum spanning tree (MST) theory is put forward as well as path optimization using spiral flying model. Finally, a series of simulation experiments are carried out through the method in this paper and two compared algorithms. Results show that: optimized cooperative strategies can achieve greater total revenue and more stable performance than the other two.

Keywords

UAV Cooperative search Clustering Minimum spanning tree 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Tao Zhu
    • 1
  • Weixiong He
    • 1
    Email author
  • Haifeng Ling
    • 1
  • Zhanliang Zhang
    • 1
  1. 1.Army Engineering University of PLANanjingChina

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