Resource Allocation of UAV-Assisted IoT Node Secure Communication System

Signals Pub Date : 2023-08-21 DOI:10.3390/signals4030031
Biyun Ma, Diyuan Xu, Xinyu Ren, Yide Wang, Jiaojiao Liu
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引用次数: 1

Abstract

To balance the information security and energy harvest for massive internet-of-things (IoT) devices, an unmanned aerial vehicle (UAV)–assisted secure communication model is proposed in this paper. We extend the secure transmission model with physical layer security (PLS) to simultaneous wireless information and power transfer (SWIPT) technology and optimize the UAV trajectory, transmission power, and power splitting ratio (PSR). The nonconvex object function is decomposed into three subproblems. Then a robust iterative suboptimal algorithm based on the block coordinate descent (BCD) method is proposed to solve the subproblems. Numerical simulation results are provided to show the effectiveness of the proposed method. These results clearly illustrate that our resource allocation schemes surpass baseline schemes in terms of both transmit power and ratio of harvesting energy, while maintaining an approximately instantaneous secrecy rate.
无人机辅助物联网节点安全通信系统的资源分配
为了平衡大规模物联网设备的信息安全和能量获取,本文提出了一种无人机辅助的安全通信模型。我们将具有物理层安全性(PLS)的安全传输模型扩展到同时无线信息和功率传输(SWIPT)技术,并优化了无人机轨迹、传输功率和功率分配比(PSR)。将非凸对象函数分解为三个子问题。然后,提出了一种基于块坐标下降(BCD)方法的鲁棒迭代次优算法来解决子问题。数值模拟结果表明了该方法的有效性。这些结果清楚地表明,我们的资源分配方案在发射功率和收集能量的比率方面都超过了基线方案,同时保持了近似瞬时的保密率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.20
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0.00%
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审稿时长
11 weeks
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