基于最小能耗的多无人机无线网络安全数据卸载策略

doi:10.11959/j.issn.1000-436x.2021085

Abstract

Abstract:

To solve the problems of ground passive eavesdropping when ground users offload data to the multi-UAV(unmanned aerial vehicle) edge computing network, a secure data offloading strategy that minimized system energy consumption by jointly optimizing user matching and resource allocation was proposed.Considering the constraints of system delay, communication resources and computing resources, the probability of security interruption was used to restrict the security performance of the data offload process.By using block coordinate descent and successive convex approximation algorithm, the user transmission power, offload factor, UAV computing resource allocation and jamming power were jointly optimized.A pair-wise stable user matching algorithm was proposed to minimize the total energy consumption of UAV system.Simulation results demonstrate that the algorithm can realize the safe offloading of data, and has good performance in energy consumption and delay by comparing with the conventional strategies.

Key words: physical layer security, edge computing, secure data offloading, successive convex approximation, pair-wise stable

CLC Number:

TN92

Gaofeng CUI, Yuanyuan XU, Shanghong ZHANG, Weidong WANG. Secure data offloading strategy for multi-UAV wireless networks based on minimum energy consumption[J]. Journal on Communications, 2021, 42(5): 51-62.

Figures/Tables 7

参数	含义	数值
H /m	无人机固定悬停高度^[31]	300
G /Mbit	用户需处理总任务量	10
B/MHz	带宽^[21]	1
h₀	UAV-地面单位信道增益^[19]	1.42×10^-4
γ₀	视距信道路径衰落指数	2
h₁	用户-窃听者单位信道增益	1.42×10^-4
γ₁	非视距信道路径衰落指数	3.5
λ^{- 1}	g_s→e的期望^[19]	1
σ²/dBm	噪声功率^[6]	-100
$P_{n}^{max} / dBm$	无人机功率上限	35
$P_{S}^{max} / dBm$	用户功率上限^[21]	20
$f_{n}^{U} / MHz$	无人机计算能力	10⁴
f_s/MHz	用户计算能力	6×10³
C	1 bit数据所需CPU周期数^[21]	10³
$T_{req 1} / s$	本地计算时延上限	3
$T_{req 2} / s$	无人机计算时延上限	7
ε	保密中断概率	[0.001, 0.1]

References 31

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