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A Study of the Impact of Networked Low-Altitude Drone Operations on the Performance of Big Data Services

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Big Data – BigData 2024 (BIGDATA 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15422))

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Abstract

This study delves into the impact of networked low-altitude UAV operations on the performance of big data services. Firstly, the criticality of big data services and the significant advantages of low-altitude UAV networked operations are elaborated. Then, the impact of low-altitude UAV networked operation on big data service performance is comprehensively analyzed, including real-time, data security, and application scene diversity. On this basis, a series of optimization strategies are proposed, including the deployment and optimization of distributed architecture, the expansion and optimization of storage capacity, the study of the diversity of application scenarios, and the in-depth discussion of security and privacy issues, in order to cope with the challenges of low-altitude UAV networked operation on the performance of big data services.

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Notes

  1. 1.

    Ahmed, Ammar, S. Zhang , and Y. D. Zhang. “Multi-target Motion Parameter Estimation Exploiting Collaborative UAV Network.” ICASSP 2019 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE, 2019.

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Acknowledgments

1. Guangdong Provincial Philosophy and Social Science Planning Project “Research on the Mechanism, Effect, and Policy of the Impact of Entity Enterprise Financialization on Innovation Efficiency of Guangdong Province Enterprises” (No. GD24CYJ57).

2. Research on the application and impact of drone technology empowering agricultural product quality certification (No. HX-0791).

3. Research on the practical path of ideological and political teaching reform in vocational colleges under the background of the integration strategy of education, science and technology, and talents (No. 2024kcszzx07).

Funding

Guangdong Provincial Philosophy and Social Science Planning Project “Research on the Mechanism, Effect, and Policy of the Impact of Entity Enterprise Financialization on Innovation Efficiency of Guangdong Province Enterprises” (No. GD24CYJ57).

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Correspondence to Jinhong Xu .

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Jiang, C., Li, X., Xu, J., Hou, J. (2025). A Study of the Impact of Networked Low-Altitude Drone Operations on the Performance of Big Data Services. In: Zhang, Y., Cai, T., Zhang, LJ. (eds) Big Data – BigData 2024. BIGDATA 2024. Lecture Notes in Computer Science, vol 15422. Springer, Cham. https://doi.org/10.1007/978-3-031-77088-3_4

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  • DOI: https://doi.org/10.1007/978-3-031-77088-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-77087-6

  • Online ISBN: 978-3-031-77088-3

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