4.4 Article

Hierarchical Task Assignment Strategy for Heterogeneous Multi-UAV System in Large-Scale Search and Rescue Scenarios

Journal

Publisher

HINDAWI LTD
DOI: 10.1155/2021/7353697

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Funding

  1. National Natural Science Foundation of China [61701134, 51809056]
  2. Fundamental Research Funds for the Central Universities [3072020CF0811]

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This paper proposes a hierarchical task assignment strategy to address the heavy computational load and communication burden in large-scale search and rescue scenarios. By introducing model decoupling, cluster head selection, and auction-based task sharing mechanisms, the proposed strategy effectively reduces the computation amount and communication cost, guarantees the completion of S&R missions, and improves the mission coverage of the multi-UAV system.
For the large-scale search and rescue (S&R) scenarios, the centralized and distributed multi-UAV multitask assignment algorithms for multi-UAV systems have the problems of heavy computational load and massive communication burden, which make it hard to guarantee the effectiveness and convergence speed of their task assignment results. To address this issue, this paper proposes a hierarchical task assignment strategy. Firstly, a model decoupling algorithm based on density clustering and negotiation mechanism is raised to decompose the large-scale task assignment problem into several nonintersection and complete small-scale task assignment problems, which effectively reduces the required computational amount and communication cost. Then, a cluster head selection method based on multiattribute decision is put forward to select the cluster head for each UAV team. These cluster heads will communicate with the central control station about the latest assignment information to guarantee the completion of S&R mission. At last, considering that a few targets cannot be effectively allocated due to UAVs' limited and unbalanced resources, an auction-based task sharing scheme among UAV teams is presented to guarantee the mission coverage of the multi-UAV system. Simulation results and analyses comprehensively verify the feasibility and effectiveness of the proposed hierarchical task assignment strategy in large-scale S&R scenarios with dispersed clustering targets.

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