UAV-Assisted Computation Offloading Toward Energy-Efficient Blockchain Operations in Internet of Things

被引：6
作者：
Lan, Xunqiang [1 ,2 ]
Tang, Xiao [1 ,2 ]
Zhang, Ruonan [1 ]
Lin, Wensheng [1 ]
Han, Zhu [3 ,4 ]
机构：
[1] Northwestern Polytechin Univ, Sch Elect & Informat, Xian 710072, Peoples R China
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[3] Univ Houston, Dept Elect & Comp Engn, Houston, TX 77004 USA
[4] Kyung Hee Univ, Dept Comp Sci & Engn, Seoul 446701, South Korea
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2023年 / 12卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Internet of Things; Blockchains; Task analysis; Servers; Autonomous aerial vehicles; Energy consumption; Computational modeling; blockchain; computation offloading; unmanned aerial vehicle; deep reinforcement learning; RESOURCE-ALLOCATION;
D O I：
10.1109/LWC.2023.3279317
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The advances in the Internet of Things (IoT) have provided generous opportunities for various applications, yet the data security concerns need to be specially addressed due to the limited capability of IoT devices. Toward this issue, we propose to deploy a blockchain system with practical Byzantine fault tolerance (PBFT) consensus for IoT data security provisioning. In particular, we conduct profound analyses regarding the PBFT procedure and elaborate on the computation burden therein. Then, an unmanned aerial vehicle (UAV) is leveraged to offload the computation and assist the blockchain operations. The system energy efficiency is introduced as the ratio of the blockchained IoT data amount and energy consumption for the computation and communication in the network. Further, we maximize the system energy efficiency by the joint design of offloading and transmission strategies, as well as the UAV deployment, within a reinforcement learning framework. Finally, simulation results are provided to corroborate the effectiveness of our proposal.
引用
收藏
页码：1469 / 1473
页数：5
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