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

Authors
Koo, Kwang MinLee, Kyung RakCho, Sung RyungJoe, Inwhee
Issue Date
2020
Publisher
Springer
Keywords
Machine learning; Path planning; Sensor data collection; UAV
Citation
Lecture Notes in Electrical Engineering, v.536 LNEE, pp.428 - 433
Indexed
SCOPUS
Journal Title
Lecture Notes in Electrical Engineering
Volume
536 LNEE
Start Page
428
End Page
433
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/146492
DOI
10.1007/978-981-13-9341-9_74
ISSN
1876-1100
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. ? 2020, Springer Nature Singapore Pte Ltd.
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