Joint 3D Trajectory Design and Resource Allocation in Three-Layer IoT-UAV Networks in Smart Agriculture

UA V and IoT have gradually become the significant technology in smart agriculture. In this paper, a three-layer IoT -UA V system is proposed in smart agriculture. This proposed system is comprised of three distinct layers: 1) the bottom layer composed of GUs; 2) the middle layer composed of MEC servers carried by M-UA Vs and BS; 3) the top layer composed of the AUs. The middle layer provides computing service to the bottom and top layer to help them execute heavy computation tasks. Meanwhile, we study the energy consumption minimization problem by jointly optimizing the 3D trajectory of the M-UAVs and resource allocation. Our approach employs a combination of the block coordinate descent (BCD) technique and the successive convex approximation (SCA) technique. Through numerical analysis, our proposed scheme demonstrates superior performance compared to other baseline.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/isrimt63979.2024.10875097
Primary Topic
Smart Agriculture and AI
Type
article
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Joint 3D Trajectory Design and Resource Allocation in Three-Layer IoT-UAV Networks in Smart Agriculture

Zhong Lin, Zhengling Liu, Youguo Zhan, Mingyue Lv et al.
Smart Agriculture and AI
article

Joint 3D Trajectory Design and Resource Allocation in Three-Layer IoT-UAV Networks in Smart Agriculture

Zhong Lin, Zhengling Liu, Youguo Zhan, Mingyue Lv, Han Zhang
article en

Abstract

UA V and IoT have gradually become the significant technology in smart agriculture. In this paper, a three-layer IoT -UA V system is proposed in smart agriculture. This proposed system is comprised of three distinct layers: 1) the bottom layer composed of GUs; 2) the middle layer composed of MEC servers carried by M-UA Vs and BS; 3) the top layer composed of the AUs. The middle layer provides computing service to the bottom and top layer to help them execute heavy computation tasks. Meanwhile, we study the energy consumption minimization problem by jointly optimizing the 3D trajectory of the M-UAVs and resource allocation. Our approach employs a combination of the block coordinate descent (BCD) technique and the successive convex approximation (SCA) technique. Through numerical analysis, our proposed scheme demonstrates superior performance compared to other baseline.

China Tobacco (CN)
Zero hunger
Openalex Percentile: Top 84%
Smart Agriculture and AI
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Joint 3D Trajectory Design and Resource Allocation in Three-Layer IoT-UAV Networks in Smart Agriculture — Zhong Lin, Zhengling Liu, et al. · (2024) | TGRS Research Map | TGRS