Node Deployment of WSN Based on Drones

Authors

  • Chengzhi Yin

DOI:

https://doi.org/10.62051/ijcsit.v4n2.13

Keywords:

WSN node deployment, Basic, Universal

Abstract

In order to solve the problem of WSN node deployment being unable to achieve relatively orderly and efficient deployment in some specific scenarios, this study refers to the specific development of WSN coverage technology at home and abroad, and hopes to create a basic and universal coverage system based on existing technology, in order to face various emergency situations in reality.

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References

[1] Hu Shanshan. Research on WSN coverage optimization based on swarm intelligence algorithms [D]. Xi'an University of Posts and Telecommunications, 2023. DOI: 10.27712/d.cnki. gxayd. 2023000042.

[2] Mohamed S M, Hamza H S, Saroit I. A. Coverage in mobile wireless sensor networks (M-WSN): A survey [J] After Computer Communications, 2017, 110: 133-150.

[3] Guo Jin's research on energy balance algorithms in wireless sensor networks [D]. Beijing University of Posts and Telecommunications, 2022. DOI: 10.26969/d.cnki. gbydu. 2022.000351.

[4] Pan Jianmin, Dong Bilong, Lv Zhibo. Military Application of Wireless Sensor Network Technology [J]. Digital Communication World, 2017, (09): 55.

[5] Peng Li. Principles and Applications of Wireless Sensor Networks. Xi'an University of Electronic Science and Technology Press, 2014

[6] Ren Fengyuan, Huang Haining, Lin Chuang. Wireless Sensor Networks Journal of Software, 2003, 14 (7): 1282-1291.

[7] Bigsby P. The visual processor module and normal adult readers [J] The British Journal of Psychology, 1988, 79 (4): 455-469

[8] Wei Xiaolei. Research on Optimization Method of Multi UAV Wireless Sensor Network Layout Based on Game Theory [D]. Yanshan University, 2020. DOI: 10.27440/d.cnki.gysdu.2020.001689.

[9] Design Principle and Scheme of Wireless Sensor Network Monitoring System. China Mobile Internet of Things [Reference Date: May 24, 2024]

[10] Shi Weiren, Yuan Jiuyin, and Lei Luning Research on Wireless Sensor Network Coverage Control Algorithm. "Journal of Automation 35.5 (2009): 540-545

[11] Liu Cong, Liu Ying, and Yang Changlin (2023). Research on Target Full Coverage Method Based on Drones. Computer Application Research (07), 1970-1975. doi: 10.19734/j.issn. 1001-3695. 2022.11.0790.

[12] Liu Cong, Liu Ying, and Yang Changlin (2023). Research on Target Full Coverage Method Based on Drones. Computer Application Research (07), 1970-1975. doi: 10.19734/j.issn. 1001-3695. 2022.11.0790

[13] Proceedings of the 11th annual international conference on mobile computing and networking 2005: 284-298.

[14] Hanh N T, Binh H T T, Hoai N X, et al. An efficient genetic algorithm for maximizing area coverage in wireless sensor networks] Information Sciences, 2019, 488: 58-75.

[15] Wang B, Chua K C, Srinivasan V, et al. Information coverage in randomly deployed wireless sensor networks

[16] Wang S Y, Shih K P, Chen Y D, et al. Preserving target area coverage in wireless sensor networks by using computational geometry [C]2010 IEEE Wireless Communication and Networking Conference IEEE, 2010: 1-6.

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Published

10-10-2024

Issue

Section

Articles

How to Cite

Yin, C. (2024). Node Deployment of WSN Based on Drones. International Journal of Computer Science and Information Technology, 4(2), 88-93. https://doi.org/10.62051/ijcsit.v4n2.13