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

被引：0

作者：

Guo, Shuaicheng ^{[1
]}

Zhang, Yuejun ^{[1
]}

Zhou, Ziyu ^{[1
]}

Wang, Lixun ^{[1
]}

Ruan, Zhuo ^{[1
]}

Pan, Yu ^{[1
]}

机构：

[1] Ningbo Univ, Fac Elect Engn & Comp Sci, Ningbo 315211, Peoples R China

来源：

MICROMACHINES | 2024年 / 15卷 / 09期

基金：

中国国家自然科学基金;

关键词：

triboelectric nanogenerator; true random number generators; multi-entropy sources; differential algorithm; PERFORMANCE; SENSORS;

D O I：

10.3390/mi15091072

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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.

引用

页数：16

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