PDF

Secure Polarization-Shift Backscatter Identification Applied to Battery-Free BLE Sensors Powered by Wireless Power Transfer

Taki E. Djidjekh, Quentin Bernyer

2025enbackscatteringidentificationsecuritybluetoothsensor

Abstract

Language:

This paper presents a lightweight and protocol-independent security mechanism for battery-free Bluetooth Low Energy (BLE) sensor nodes operating in Simultaneous Wireless Information and Power Transfer (SWIPT) architecture. The proposed approach exploits polarization-shift backscattering of the wireless power wave to transmit an encrypted device identification prior to data communication. A fail-safe RF switch and orthogonally polarized antennas are integrated as an external add-on module, enabling controlled backscatter without modifying the original energy-harvesting rectifier. The identification payload is encrypted using AES-128 and transmitted with minimal energy overhead. Experimental validation on a battery-free BLE sensor node demonstrates reliable extraction of the backscattered identification signal, seamless coexistence with BLE advertising, and improved RF-to-DC harvesting efficiency compared to rectifier-based backscatter solutions. The results confirm that polarization-shift backscatter identification provides an effective and practical security for battery-free BLE sensing systems.

Download

Cite This Work

@article{ea9b8218-5684-43c6-85b3-46999cbaf49f,
  title={Secure Polarization-Shift Backscatter Identification Applied to Battery-Free BLE Sensors Powered by Wireless Power Transfer},
  author={Taki E. Djidjekh and Quentin Bernyer},
  year={2025},
  language={en}
}
TY  - JOUR
TI  - Secure Polarization-Shift Backscatter Identification Applied to Battery-Free BLE Sensors Powered by Wireless Power Transfer
AU  - Taki E. Djidjekh
AU  - Quentin Bernyer
PY  - 2025
LA  - en
ER  -

Similar Items

Process Engineering and Plant Design

Siddhartha Mukherjee

This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an

2022enPDF

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

Rajesh Jha, Bimal Kumar Jha

This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t

2022enPDF

The Nature of Solid Iron and Its Grain Structure

Unknown, Unknown

This study focuses on the fundamental characteristics of solid iron, which is predominantly composed of iron atoms and provides a basis for understand

2023enPDF

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF

Optimization of Integrated Steel Plant R

This paper addresses the challenge of assessing the feasibility of wind power plant projects at sites with insufficient or no local historic wind data

2025enPDF

Design for Recovery of Precious and Base

2026enPDF