Energy-Constrained Safe Path Planning for UAV-Assisted Data Collection of Mobile IoT Devices

Fan, Junchao; Chang, Xiaolin; Mišić, Jelena; Mišić, Vojislav B.; Yang, Tong; Gong, Yanwei

doi:10.1109/jiot.2024.3448537

IEEE Internet Things J.

2024

DOI: 10.1109/jiot.2024.3448537

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Energy-Constrained Safe Path Planning for UAV-Assisted Data Collection of Mobile IoT Devices

Junchao Fan,

Xiaolin Chang,

Jelena Mišić

et al.

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A Global Coverage Path Planning Method for Multi-UAV Maritime Surveillance in Complex Obstacle Environments

Li,

Chen,

et al. 2024

Drones

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The study of unmanned aerial vehicle (UAV) coverage path planning is of great significance for ensuring maritime situational awareness and monitoring. In response to the problem of maritime multi-region coverage surveillance in complex obstacle environments, this paper proposes a global path planning method capable of simultaneously addressing the multiple traveling salesman problem, coverage path planning problem, and obstacle avoidance problem. Firstly, a multiple traveling salesmen problem–coverage path planning (MTSP-CPP) model with the objective of minimizing the maximum task completion time is constructed. Secondly, a method for calculating obstacle-avoidance path costs based on the Voronoi diagram is proposed, laying the foundation for obtaining the optimal access order. Thirdly, an improved discrete grey wolf optimizer (IDGWO) algorithm integrated with variable neighborhood search (VNS) operations is proposed to perform task assignment for multiple UAVs and achieve workload balancing. Finally, based on dynamic programming, the coverage path points of the area are solved precisely to generate the globally coverage path. Through simulation experiments with scenarios of varying scales, the effectiveness and superiority of the proposed method are validated. The experimental results demonstrate that this method can effectively solve MTSP-CPP in complex obstacle environments.

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A Global Coverage Path Planning Method for Multi-UAV Maritime Surveillance in Complex Obstacle Environments

Li,

Chen,

et al. 2024

Drones

View full text Add to dashboard Cite

show abstract

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Energy-Constrained Safe Path Planning for UAV-Assisted Data Collection of Mobile IoT Devices

Cited by 1 publication

References 40 publications

A Global Coverage Path Planning Method for Multi-UAV Maritime Surveillance in Complex Obstacle Environments

A Global Coverage Path Planning Method for Multi-UAV Maritime Surveillance in Complex Obstacle Environments

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