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一种基于具有多个熵源的摩擦纳米发电机的真随机数发生器设计。

A True Random Number Generator Design Based on the Triboelectric Nanogenerator with Multiple Entropy Sources.

作者信息

Guo Shuaicheng, Zhang Yuejun, Zhou Ziyu, Wang Lixun, Ruan Zhuo, Pan Yu

机构信息

Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China.

出版信息

Micromachines (Basel). 2024 Aug 25;15(9):1072. doi: 10.3390/mi15091072.

Abstract

The triboelectric nanogenerator (TENG) has the potential to serve as a high-entropy energy harvester, enabling the self-powered operation of Internet of Things (IoT) devices. True random number generator (TRNG) is a common feature of encryption used in IoT data communication, ensuring the security of transmitted information. The benefits of multiplexing TENG and TRNG in resource-constrained IoT devices are substantial. However, current designs are limited by the usage scenarios and throughput of the TRNG. Specifically, we propose a structurally and environmentally friendly design based on the contact-separation structure, integrating heat fluctuation and charge decay as entropy sources. Furthermore, filtering and differential algorithms are recommended for data processing based on TENG characteristics to enhance randomness. Finally, a TENG-based TRNG is fabricated, and its performance is verified. Test results demonstrate a random number throughput of 25 Mbps with a randomness test pass rate approaching 99%, demonstrating suitability for resource-constrained IoT applications.

摘要

摩擦纳米发电机(TENG)有潜力成为一种高熵能量收集器,实现物联网(IoT)设备的自供电运行。真随机数发生器(TRNG)是物联网数据通信中常用的加密功能,可确保传输信息的安全性。在资源受限的物联网设备中复用TENG和TRNG的好处是巨大的。然而,目前的设计受到TRNG使用场景和吞吐量的限制。具体而言,我们提出了一种基于接触-分离结构的结构和环境友好型设计,将热涨落和电荷衰减作为熵源进行整合。此外,建议根据TENG的特性采用滤波和差分算法进行数据处理,以增强随机性。最后,制造了基于TENG的TRNG,并对其性能进行了验证。测试结果表明,随机数吞吐量为25 Mbps,随机度测试通过率接近99%,证明其适用于资源受限的物联网应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f57/11433682/6db3e19dcee9/micromachines-15-01072-g001.jpg

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