A UAV Path Planning Method Using Polynomial Regression for Remote Sensor Data Collection
- Authors
- Koo, Kwang Min; Lee, Kyung Rak; Cho, Sung Ryung; Joe, 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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