Backscatter-based UAV-enabled mobile edge computing IoT network: design and analysis
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 (...
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| Format: | Article |
| Language: | English |
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The University of Danang
2024-12-01
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| Series: | Tạp chí Khoa học và Công nghệ |
| Subjects: | |
| Online Access: | https://jst-ud.vn/jst-ud/article/view/9316 |
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| _version_ | 1850206990069923840 |
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| author | Dac-Binh Ha Truong Tien-Vu Truong Nguyen-Son Vo Van Nhan Vo |
| author_facet | Dac-Binh Ha Truong Tien-Vu Truong Nguyen-Son Vo Van Nhan Vo |
| author_sort | Dac-Binh Ha |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0f3171ccd52144969e034bd18959651b |
| institution | OA Journals |
| issn | 1859-1531 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | The University of Danang |
| record_format | Article |
| series | Tạp chí Khoa học và Công nghệ |
| spelling | doaj-art-0f3171ccd52144969e034bd18959651b2025-08-20T02:10:39ZengThe University of DanangTạp chí Khoa học và Công nghệ1859-15312024-12-01232910.31130/ud-jst.2024.321E9310Backscatter-based UAV-enabled mobile edge computing IoT network: design and analysisDac-Binh Ha0Truong1Tien-Vu Truong2Nguyen-Son Vo3Van Nhan Vo4Duy Tan University, Da Nang, VietnamDuy Tan University, Da Nang, VietnamDuy Tan University, Da Nang, VietnamInstitute of Fundamental and Applied Sciences, Duy Tan University, Ho Chi Minh City, VietnamDuy Tan University, Da Nang, VietnamIn 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.https://jst-ud.vn/jst-ud/article/view/9316mobile edge computingpartial offloadingunmanned aerial vehiclebackscatterrf energy harvesting |
| spellingShingle | Dac-Binh Ha Truong Tien-Vu Truong Nguyen-Son Vo Van Nhan Vo Backscatter-based UAV-enabled mobile edge computing IoT network: design and analysis Tạp chí Khoa học và Công nghệ mobile edge computing partial offloading unmanned aerial vehicle backscatter rf energy harvesting |
| title | Backscatter-based UAV-enabled mobile edge computing IoT network: design and analysis |
| title_full | Backscatter-based UAV-enabled mobile edge computing IoT network: design and analysis |
| title_fullStr | Backscatter-based UAV-enabled mobile edge computing IoT network: design and analysis |
| title_full_unstemmed | Backscatter-based UAV-enabled mobile edge computing IoT network: design and analysis |
| title_short | Backscatter-based UAV-enabled mobile edge computing IoT network: design and analysis |
| title_sort | backscatter based uav enabled mobile edge computing iot network design and analysis |
| topic | mobile edge computing partial offloading unmanned aerial vehicle backscatter rf energy harvesting |
| url | https://jst-ud.vn/jst-ud/article/view/9316 |
| work_keys_str_mv | AT dacbinhha backscatterbaseduavenabledmobileedgecomputingiotnetworkdesignandanalysis AT truong backscatterbaseduavenabledmobileedgecomputingiotnetworkdesignandanalysis AT tienvutruong backscatterbaseduavenabledmobileedgecomputingiotnetworkdesignandanalysis AT nguyensonvo backscatterbaseduavenabledmobileedgecomputingiotnetworkdesignandanalysis AT vannhanvo backscatterbaseduavenabledmobileedgecomputingiotnetworkdesignandanalysis |