Performance Optimization of Blockchain-Assisted Unmanned Aerial Vehicle Mobile Edge Computing System

doi:10.3969/j.issn.1671-1122.2024.09.011

Abstract

Abstract:

In scenarios with high user density such as large-scale highly interconnected events, traditional ground base stations are difficult to meet the demands for network speed and stability. Therefore, the introduction of unmanned aerial vehicle (UAV) equipped with mobile edge computing (MEC) server base stations can not only alleviate the pressure on ground base stations but also reduce construction costs. However, the interaction of edge nodes and the broadcast nature of UAV networks pose threats to data security and privacy. To address this, the decentralization and security features of blockchain technology were integrated, and an improved delegated proof of stake (DPoS) consensus mechanism based on voting was proposed to ensure the security of UAV-assisted internet of things (IoT) system communications. Ultimately, the goal is to maximize the total computational capacity by jointly optimizing the allocation of user bandwidth, UAV flight trajectories, local computing, and task offloading time. This paper proposed to solve the optimization problem using the block coordinate descent (BCD) algorithm and the successive convex approximation (SCA) technique. Simulation results show that compared with the schemes of fixing unmanned aerial vehicles, bandwidth and trajectory respectively, the scheme proposed in this paper has increased the total computing capacity by 24.51%, 7.11% and 4.37% respectively in terms of maximization.

Key words: UAV communication, mobile edge computing, blockchain, trajectory optimization, communication security

CLC Number:

TP309

YU Lisu, LI Biao, YAO Yuanzhi, WEN Jiajin, LI Zipeng, WANG Zhen. Performance Optimization of Blockchain-Assisted Unmanned Aerial Vehicle Mobile Edge Computing System[J]. Netinfo Security, 2024, 24(9): 1432-1443.

Figures/Tables 8

References 23

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参数含义/符号	取值
UAV个数$(M)$	$4$个
聚类用户个数$(K)$	$40$个
UAV飞行周期$(T)$	$120\ \text{s}$
时隙个数$(N)$	$60$个
时隙$(\delta )$	$2\ \text{s}$
UAV飞行高度$(H)$	$80\ \text{m}$
UAV最大飞行速度$({{v}_{\max }})$	$15\ \text{m/s}$
UAV噪声功率$({{\sigma }^{2}})$	$-100\ \text{dBm}$
参考距离$1\text{m}$处的信道增益$(\rho )$	$-50\ \text{dB}$
GU的发射功率$({{p}_{k}})$	$0.1\ \text{W}$
UAV的发射功率$({{p}_{u}})$	$0.1\ \text{W}$
MEC服务器计算频率$({{f}_{c}})$	$3\ \text{GHz}$
UAV的质量$({{M}_{U}})$	$2\ \text{kg}$
上行卸载链路总带宽$({{B}_{0}})$	$10\ \text{MHz}$
MEC服务器的电容系数$({{\gamma }_{c}})$	${{10}^{-27}}$
GU的电容系数$({{\gamma }_{k}})$	${{10}^{-27}}$
MEC每$\text{bit}$的CPU周期$({{C}_{c}})$	$1000\ \text{cycles}$
GU每$\text{bit}$的CPU周期$({{C}_{k}})$	$1000\ \text{cycles}$