Grid-Based coverage path planning with NFZ avoidance for UAV using parallel self-adaptive ant colony optimization algorithm in cloud IoT

Grid-Based coverage path planning with NFZ avoidance for UAV using parallel self-adaptive ant colony optimization algorithm in cloud IoT

Abstract In recent years, with the development of Unmanned Aerial Vehicle (UAV) and Cloud Internet-of-Things (Cloud IoT) technology, data collection using UAVs has become a new technology hotspot for many Cloud IoT applications. Due to constraints such as the limited power life, weak computing power...

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Bibliographic Details
Main Authors: Yiguang Gong, Kai Chen, Tianyu Niu, Yunping Liu
Format: Article
Language:English
Published: SpringerOpen 2022-08-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Unmanned aerial vehicle
Coverage path planning
Ant colony algorithm
Floyd algorithm
No-fly zone
Grid-based technique
Online Access:https://doi.org/10.1186/s13677-022-00298-2

Internet

https://doi.org/10.1186/s13677-022-00298-2

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