Biological Intelligence Inspired Trajectory Design for Energy Harvesting UAV Networks

. 2023 Jan 11;23(2):863. doi: 10.3390/s23020863

Algorithm 1 Foraging-based group selection

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Input: User positions $(x_{i}, y_{i})$ , user requests $D_{i}$ , group locations $(m_{j}, n_{j})$ , and charging power $P_{j}^{C}$
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Init: UAV position, group selection $o = 0$
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Optimize the power allocation $P_{i j}^{T}$ and bandwidth allocation coefficient $ρ_{i j}$ for each group and each user
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Calculate the profitability $p_{j} = M_{j} / N_{j}$ for each group
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Rank the profitability from large to small
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repeat
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Select the next potential served group $j^{'}$ from the remaining set with the largest profitability
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$o_{j^{'}} \leftarrow 1$
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Delete group $j^{'}$ from the group set $G$
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until Satisfy (28)
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$o^{*} \leftarrow o$
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Output: Optimal group selection $o^{*}$ with maximal deployment profitability