Communication-constrained multi-UAV task allocation method for non-independent tasks
Heterogeneous multi-UAV system can effectively collaborate to execute complex tasks through complementary capabilities. Rational and efficient task allocation strategies can significantly enhance the overall performance of multi-UAV system. This paper addresses the task allocation problem for hetero...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-10-01
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| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098625002216 |
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| Summary: | Heterogeneous multi-UAV system can effectively collaborate to execute complex tasks through complementary capabilities. Rational and efficient task allocation strategies can significantly enhance the overall performance of multi-UAV system. This paper addresses the task allocation problem for heterogeneous unmanned aerial vehicles (UAVs) with non-independent tasks and communication constraints. We propose the Non-Independent Task Market-based Task Allocation (NI-MTA) method to tackle this challenge. First, we model the problem by incorporating non-independent tasks, pop up tasks, and communication limitations, reflecting real-world UAV coordination complexities. Second, we develop the NI-MTA method, which integrates a coalition formation algorithm into a market-based framework to enable dynamic task allocation with inconsistent situation awareness under communication constraints. Experimental results demonstrate that NI-MTA improves system performance compared to traditional market-based approaches, effectively handling task dependencies and limited communication. This work advances UAV coordination by providing a scalable and adaptive solution for complex mission scenarios. |
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| ISSN: | 2215-0986 |