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- W4283367767 abstract "The sweep coverage of UAVs can provide emergency communication support and conduct disaster surveys in emergency disaster relief. These rescue operations are extremely time sensitive. If the UAVs cannot arrive on time, the best rescue opportunity may be missed. In the case of limited resources, it's crucial to design a collaborative sweep coverage scheme for the fewest UAVs to achieve the 100% on-time coverage rate. In this paper, we first propose a novel problem named TSCM. Under the constraints of time sensitivity and the endurance of UAVs, the objective of the TSCM problem is to minimize the number of required UAVs to cover all POIs on time. We prove that the TSCM problem is NP-hard. Accordingly, we propose the GCS algorithm for the TSCM problem. Finally, we conduct extensive simulations and the experimental results demonstrate GCS can achieve the minimum number of required UAVs and improve the performance by 14% compared with the best existing algorithms." @default.
- W4283367767 created "2022-06-25" @default.
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- W4283367767 date "2022-09-01" @default.
- W4283367767 modified "2023-10-18" @default.
- W4283367767 title "Time sensitive sweep coverage with minimum UAVs" @default.
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- W4283367767 doi "https://doi.org/10.1016/j.tcs.2022.06.025" @default.
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