Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

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Drone Dynamic Planning Nature Reserve Policy Based on Path Planning and Fuzzy Comprehensive Evaluation

Authors
Hengzhi Liu1, Gaoyuan Zhang1, *
1School of Computer Science and Engineering, Northeastern University, Hunnan District, No.195, Chuangxin Road, Shenyang City, 110169, Liaoning Province, China
*Corresponding author. Email: zhanggaoyuan@mail.neu.edu.cn
Corresponding Author
Gaoyuan Zhang
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_27How to use a DOI?
Keywords
Drone; A-star; Fuzzy Comprehensive Evaluation; Rasterization Markov
Abstract

As a famous wildlife sanctuary and national park in Africa, Kenya’s Maasai Mara is also suffering from the scourge brought about by the contradiction between human and nature. For the conservation of local wildlife and other natural resources, this paper curb poaching and other violations by assigning patrolling tasks to drones. Good improvements are made to the genetic algorithm in the article. To address balancing the interests of people living in the area and analyze human-animal interactions, A-star algorithm for drone path planning came out. Experimented by setting the barrier grid and target grid for the area after rasterization, it got excellent results. In order to rank and compare program results and forecast our models, the fuzzy integrated evaluation algorithm is selected for assessment and the Markov model is compatible with prediction. The model discusses some special cases and applications of the model in other regions. Therefore, our method is also more applicable to other similar wildlife sanctuaries.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
10.2991/978-94-6463-304-7_27
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_27How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hengzhi Liu
AU  - Gaoyuan Zhang
PY  - 2023
DA  - 2023/12/04
TI  - Drone Dynamic Planning Nature Reserve Policy Based on Path Planning and Fuzzy Comprehensive Evaluation
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 250
EP  - 255
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_27
DO  - 10.2991/978-94-6463-304-7_27
ID  - Liu2023
ER  -