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

Kwang Min Koo, Kyung Rak Lee, Sung Ryung Cho, Inwhee Joe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationAdvances in Computer Science and Ubiquitous Computing, CSA-CUTE 2018
EditorsJames J. Park, Doo-Soon Park, Young-Sik Jeong, Yi Pan
PublisherSpringer
Pages428-433
Number of pages6
ISBN (Print)9789811393402
DOIs
StatePublished - 2020 Jan 1
Event10th International Conference on Computer Science and its Applications, CSA 2018 and the 13th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2018 - Kuala Lumpre, Malaysia
Duration: 2018 Dec 172018 Dec 19

Publication series

NameLecture Notes in Electrical Engineering
Volume536 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference10th International Conference on Computer Science and its Applications, CSA 2018 and the 13th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2018
CountryMalaysia
CityKuala Lumpre
Period18/12/1718/12/19

Fingerprint

Unmanned aerial vehicles (UAV)
Motion planning
Polynomials
Sensors
Wireless sensor networks

Keywords

  • Machine learning
  • Path planning
  • Sensor data collection
  • UAV

Cite this

Koo, K. M., Lee, K. R., Cho, S. R., & Joe, I. (2020). A UAV Path Planning Method Using Polynomial Regression for Remote Sensor Data Collection. In J. J. Park, D-S. Park, Y-S. Jeong, & Y. Pan (Eds.), Advances in Computer Science and Ubiquitous Computing, CSA-CUTE 2018 (pp. 428-433). (Lecture Notes in Electrical Engineering; Vol. 536 LNEE). Springer. https://doi.org/10.1007/978-981-13-9341-9_74
Koo, Kwang Min ; Lee, Kyung Rak ; Cho, Sung Ryung ; Joe, Inwhee. / A UAV Path Planning Method Using Polynomial Regression for Remote Sensor Data Collection. Advances in Computer Science and Ubiquitous Computing, CSA-CUTE 2018. editor / James J. Park ; Doo-Soon Park ; Young-Sik Jeong ; Yi Pan. Springer, 2020. pp. 428-433 (Lecture Notes in Electrical Engineering).
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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.",
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Koo, KM, Lee, KR, Cho, SR & Joe, I 2020, A UAV Path Planning Method Using Polynomial Regression for Remote Sensor Data Collection. in JJ Park, D-S Park, Y-S Jeong & Y Pan (eds), Advances in Computer Science and Ubiquitous Computing, CSA-CUTE 2018. Lecture Notes in Electrical Engineering, vol. 536 LNEE, Springer, pp. 428-433, 10th International Conference on Computer Science and its Applications, CSA 2018 and the 13th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2018, Kuala Lumpre, Malaysia, 18/12/17. https://doi.org/10.1007/978-981-13-9341-9_74

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

Advances in Computer Science and Ubiquitous Computing, CSA-CUTE 2018. ed. / James J. Park; Doo-Soon Park; Young-Sik Jeong; Yi Pan. Springer, 2020. p. 428-433 (Lecture Notes in Electrical Engineering; Vol. 536 LNEE).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Koo KM, Lee KR, Cho SR, Joe I. A UAV Path Planning Method Using Polynomial Regression for Remote Sensor Data Collection. In Park JJ, Park D-S, Jeong Y-S, Pan Y, editors, Advances in Computer Science and Ubiquitous Computing, CSA-CUTE 2018. Springer. 2020. p. 428-433. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-981-13-9341-9_74