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A UAV Path Planning Method using Polynomial Regression for Remote Sensor Data Collection

Title
A UAV Path Planning Method using Polynomial Regression for Remote Sensor Data Collection
Author
조인휘
Keywords
UAV; Path planning; Sensor data collection; Machine learning
Issue Date
2020-01
Publisher
Springer Verlag
Citation
Lecture Notes in Electrical Engineering, v. 536, page. 428-433
Abstract
The use of Unmanned Aerial Vehicle (UAV) has been increasingly diverse. In Wireless Sensor Networks (WSNs), UAVs are used for sensor data collection. However, the path planning for the UAV is not practical for a large number of sensors, and is not effective for the battery consumption. In this paper, we propose the UAV path planning for data collection in WSNs using Polynomial Regression. With this algorithm, the UAV is able to save the battery and the mission time.
URI
https://link.springer.com/chapter/10.1007%2F978-981-13-9341-9_74https://repository.hanyang.ac.kr/handle/20.500.11754/160958
ISBN
978-981-13-9341-9
ISSN
1876-1119; 1876-1100
DOI
10.1007/978-981-13-9341-9_74
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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