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基于中继的物联网安全通信的稳健迭代分布式最小总均方误差算法。

Robust Iterative Distributed Minimum Total MSE Algorithm for Secure Communications in the Internet of Things Using Relays.

机构信息

School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China.

School of Automation and Mechanical Engineering, Kunming University, Kunming 650118, China.

出版信息

Sensors (Basel). 2018 Nov 13;18(11):3914. doi: 10.3390/s18113914.

DOI:10.3390/s18113914
PMID:30428618
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6263723/
Abstract

In this article, we first investigate secure communications for a two-hop interference channel relay system with imperfect channel estimation in the wireless Internet of Things (IoT), where source-destination pairs communicate simultaneously when an eavesdropper exists. We jointly conceive source, relay and destination matrices upon minimizing total mean-squared error (MSE) of all legitimate destinations while keeping the MSE at eavesdropper above a given threshold. We illuminate that the design of the source, relay and destination matrices is subject to both transmit power constraints and secrecy requirements. More specifically, we propose an efficient robust iterative distributed algorithm to simplify the process of the joint design for optimal source, relay and destination matrices. Furthermore, the convergence of the iterative distributed algorithm is described. Additionally, the performances of our proposed algorithm, such as its secrecy rate and MSE, are characterized in the form of simulation results. The simulation results reveal that the proposed algorithm is superior to the traditional approach. As a benefit, secure communications can be ensured by using the proposed algorithm for the multiple input multiple output (MIMO) interference relay IoT network in the presence of an eavesdropper.

摘要

在本文中,我们首先研究了无线物联网(IoT)中存在窃听者时,具有不完全信道估计的两跳干扰信道中继系统的安全通信。当存在窃听者时,源-目的对同时进行通信,我们共同构想源、中继和目的矩阵,同时最小化所有合法目的的均方误差(MSE),并将窃听者的 MSE 保持在给定阈值之上。我们阐明了源、中继和目的矩阵的设计受到传输功率约束和保密要求的限制。更具体地说,我们提出了一种有效的鲁棒迭代分布式算法,以简化最优源、中继和目的矩阵的联合设计过程。此外,还描述了迭代分布式算法的收敛性。此外,还以仿真结果的形式描述了我们提出的算法的性能,例如其保密速率和 MSE。仿真结果表明,与传统方法相比,所提出的算法具有优越性。作为一个好处,在存在窃听者的情况下,所提出的算法可以为多输入多输出(MIMO)干扰中继 IoT 网络提供安全通信。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/761d/6263723/5228ddca5e2d/sensors-18-03914-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/761d/6263723/584b4afd2aa4/sensors-18-03914-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/761d/6263723/a9e7233da5aa/sensors-18-03914-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/761d/6263723/bac4ac5f52cc/sensors-18-03914-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/761d/6263723/94f017c8e12c/sensors-18-03914-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/761d/6263723/5228ddca5e2d/sensors-18-03914-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/761d/6263723/584b4afd2aa4/sensors-18-03914-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/761d/6263723/a9e7233da5aa/sensors-18-03914-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/761d/6263723/bac4ac5f52cc/sensors-18-03914-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/761d/6263723/94f017c8e12c/sensors-18-03914-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/761d/6263723/5228ddca5e2d/sensors-18-03914-g005.jpg

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本文引用的文献

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Sensors (Basel). 2018 Sep 4;18(9):2942. doi: 10.3390/s18092942.