边缘网络中物联网设备的区块链辅助分布式无设备无线传感

Yanxi Xie, Ziyue Li, Chaoyi Li, Yonghui Zhu, Hao Zhang
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引用次数: 0

摘要

最近,物联网(IoT)设备的普及为边缘网络带来了大量的传感数据。如何在考虑隐私的前提下,利用分布式传感数据训练人工智能(AI)模型,实现物联网中无处不在的智能无线传感,是一个有待解决的问题。在本文中,我们提出了一种边缘智能(EI)和区块链驱动的无设备无线传感框架,以在边缘网络中提供物联网应用。在该框架中采用对抗性迁移学习设计了一种人机交互的跨域无线传感方案,并验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blockchain-Aided Distributed Device-Free Wireless Sensing with IoT Devices in Edge Network
Recently, the popularity of Internet of Things (IoT) devices has brought massive amounts of sensing data to edge networks. How to use distributed sensing data to train artificial intelligence (AI) models for ubiquitous intelligent wireless sensing in IoT, while considering privacy is an open problem. In this paper, we propose an edge intelligence (EI) and blockchain powered device-free wireless sensing framework to supply IoT applications in edge networks. We design a cross-domain wireless sensing scheme for human-computer interaction by adopting adversarial transfer learning in this framework and verify the effectiveness of the method.
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