Zhen Mao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Zhen Mao has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Bing Li
School of Cyber Science and Engineering, Southeast University, Nanjing, China
2 shared publications - Guozhu Liu
Tianjin University
1 shared publication - Jiaxin Wu
School of Microelectronics, Southeast University, Nanjing 210096, China
1 shared publication - Jinghe Wei
Advanced Integrated Circuit Design Center, National Key Laboratory of Integrated Circuits and Microsystems, Wuxi, China
1 shared publication - Linning Peng
School of Cyber Science and Engineering, Southeast University, Nanjing 210096, China
1 shared publication - Yazhou Wang
School of Microelectronics, Southeast University, Nanjing 210096, China
1 shared publication
Latest Publications
- Open Access
Time-Domain ADC and Security Co-Design for SiP-Based Wireless SAW Sensor Readers
The signal-processing architecture of passive surface acoustic wave (SAW) sensors presents significant implementation challenges due to its radar-like operational principle and the inherent complexity of discrete component-based hardware design. While System-in-Package (SiP) has demonstrated remarkable success in miniaturizing electronic systems for smartphones, automotive electronics, and IoT applications, its potential for revolutionizing SAW sensor interrogator design remains underexplored. This paper presents a novel architecture that synergistically combines time-domain ADC design with SiP-based miniaturization to achieve unprecedented simplification of SAW sensor readout systems. The proposed time-domain ADC incorporates an innovative delay chain calibration methodology that integrates physical unclonable function (PUF) principles during time-to-digital converter (TDC) characterization, enabling the simultaneous generation of unique system IDs. The experimental results demonstrate that the integrated security mechanism provides variable-length bit entropy for device authentication, and has a reliability of 97.56 and uniqueness of 49.43, with 53.28 uniformity, effectively addressing vulnerability concerns in distributed sensor networks. The proposed SiP is especially suitable for space-constrained IoT applications requiring robust physical-layer security. This work advances the state-of-the-art wireless sensor interfaces by demonstrating how time-domain signal processing and advanced packaging technologies can be co-optimized to address performance and security challenges in next-generation sensor systems.
Open AccessTime-Domain ADC and Security Co-Design for SiP-Based Wireless SAW Sensor Readers
The signal-processing architecture of passive surface acoustic wave (SAW) sensors presents significant implementation challenges due to its radar-like operational principle and the inherent complexity of discrete component-based hardware design. While System-in-Package (SiP) has demonstrated remarkable success in miniaturizing electronic systems for smartphones, automotive electronics, and IoT applications, its potential for revolutionizing SAW sensor interrogator design remains underexplored. This paper presents a novel architecture that synergistically combines time-domain ADC design with SiP-based miniaturization to achieve unprecedented simplification of SAW sensor readout systems. The proposed time-domain ADC incorporates an innovative delay chain calibration methodology that integrates physical unclonable function (PUF) principles during time-to-digital converter (TDC) characterization, enabling the simultaneous generation of unique system IDs. The experimental results demonstrate that the integrated security mechanism provides variable-length bit entropy for device authentication, and has a reliability of 97.56 and uniqueness of 49.43, with 53.28 uniformity, effectively addressing vulnerability concerns in distributed sensor networks. The proposed SiP is especially suitable for space-constrained IoT applications requiring robust physical-layer security. This work advances the state-of-the-art wireless sensor interfaces by demonstrating how time-domain signal processing and advanced packaging technologies can be co-optimized to address performance and security challenges in next-generation sensor systems.
- 1 April 2025
- Published by Springer Nature in Peer-to-Peer Networking and Applications
- Vol. 18 (3) , 1-20
An efficient multi-party signature for securing blockchain wallet
- 1 April 2025
- Published by Springer Nature in Peer-to-Peer Networking and Applications
- Vol. 18 (3) , 1-20
An efficient multi-party signature for securing blockchain wallet