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| Thanks to the advantages of flexible deployment and high mobility, unmanned aerial vehicles (UAVs) meet the challenge of collecting data from the internet of things (IoT), which requires low-delay, low-energy consumption and high reliability. In this article, we consider a scenario where multi-UAVS assist dynamic IoT for information collection. To maximize energy efficiency, an optimization algorithm based on successive convex approximation (SCA) algorithm and Dinkelbach algorithm is proposed to jointly optimize the scheduling scheme, trajectory and velocity of UAVs. Finally, the algorithm complexity and convergence are analyzed. The simulation results show that the proposed scheme can significantly improve the system energy efficiency compared with other schemes.
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| Keywords:unmanned aerial vehicles(UAVs); data collection; energy efficiency |
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