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August 25, 2024Micromachines0 citationsOpen Access

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

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SGShuaicheng GuoYZYuejun ZhangZZZiyu Zhou

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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.

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Cite This Study

Guo et al. (2024) studied this question.

synapsesocial.com/papers/68e5b01eb6db643587549aechttps://doi.org/10.3390/mi15091072
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