Backscatter-based UAV-enabled mobile edge computing IoT network: design and analysis

https://doi.org/10.31130/ud-jst.2024.321E
Tóm tắt: 4 | PDF: 5

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Author

  • Dac-Binh Ha
    Duy Tan University, Da Nang, Vietnam
    Truong
    Duy Tan University, Da Nang, Vietnam
    Tien-Vu Truong
    Duy Tan University, Da Nang, Vietnam
    Nguyen-Son Vo
    Institute of Fundamental and Applied Sciences, Duy Tan University, Ho Chi Minh City, Vietnam
    Van Nhan Vo
    Duy Tan University, Da Nang, Vietnam

Từ khóa:

Mobile edge computing
partial offloading
unmanned aerial vehicle
backscatter
RF energy harvesting

Tóm tắt

In the 6G mobile networks, ensuring low latency and low energy consumption is paramount. This study explores a novel approach for addressing these issues in a backscatter communication (BC) - based multiple user unmanned aerial vehicle (UAV) - enabled mobile edge computing (MEC) Internet of Things (IoT) network. Our proposed framework incorporates a partial offloading strategy, a time division multiple access (TDMA) scheme, and a radio frequency energy harvesting mechanism. We use the channel gains statistical characteristics to derive approximate closed-form expressions for the successful computation and energy outage probabilities. Using these benchmarks, we investigate the impact of critical parameters such as transmit power, number of sensor nodes, task division ratio, the altitude of the UAV, and threshold tolerance. We validate our analysis through computer simulations and provide results to support our findings. The study reveals that selecting an optimal UAV altitude can significantly improve latency and energy consumption performance.

Tài liệu tham khảo

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Dec 26, 2024
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Cách trích dẫn
Ha, D.-B., V.-T. Truong, T.-V. Truong, N.-S. Vo, và V. N. Vo. “Backscatter-Based UAV-Enabled Mobile Edge Computing IoT Network: Design and Analysis”. Tạp Chí Khoa học Và Công nghệ - Đại học Đà Nẵng, vol 22, số p.h 12, Tháng Chạp 2024, tr 23-29, doi:10.31130/ud-jst.2024.321E.

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