Affiliation:
1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China
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.
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Provincial Universities of Zhejiang
S&T Plan of Ningbo Science and Technology Department
Science and Technology Innovation 2025 Major Project of Ningbo City
Ningbo University Student Research and Innovation Program