journal article·2026-06Open access

Gecko‐Like Multi‐Directional High‐Power Magneto–Mechano–Electric Energy Harvesters for Self‐Powered, Hundred‐Meter‐Scale LoRa Communication

Shitong Fang, Haoxian Peng, Mingjing Cai, Liuchao Jin, Yuelong Yu, Mianxin Xiao, Qingyang Xu, Jiacheng Hou, Degui Yu, Zhihui Lai, Xin Li, Shuxiang Dong, Biao Wang, Wei‐Hsin Liao

Advanced Science· Volume 13· Issue 32

Abstract

ABSTRACT Magneto–mechano–electric energy harvesting from stray magnetic fields near power infrastructure is a promising approach for autonomous wireless sensor networks. However, state‐of‐the‐art magneto–mechano–electric energy harvesters (MME‐EHs) fail to capture multi‐directional 50/60 Hz magnetic fields of power infrastructure due to frequency mismatch and unidirectional responsiveness. To break this bottleneck, this study proposes a gecko‐like MME‐EH that mimics the flexible, symmetrical movement of gecko limbs to achieve coordinated twisting and bending. The centrally symmetric configuration with low clamping loss allows for high magnetic loads and large beam deformation, resulting in high energy output for driving long‐distance wireless sensor systems. Under a weak 60 Hz magnetic field ( = 1 Oe), the bio‐inspired multi‐directional MME‐EH generates average power of 12.8, 0.24, 0.15 in ‐, ‐, and ‐directions, respectively, representing power output and power density improvements of up to 17.75 and 5 times, respectively, over state‐of‐the‐art results. The application tests show that the proposed harvester can successfully achieve self‐powered LoRa communication over 300 meters outdoors, scaling from the conventional meter scale to an unprecedented hundred‐meter scale in the MME area. Furthermore, the long‐distance operational status monitoring of the transformer is demonstrated by coupling the proposed MME‐EH with the LoRa communication system.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Innovative Energy Harvesting Technologies · Micro and Nano Robotics · Underwater Vehicles and Communication Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots, College of Mechatronics and Control Engineering Shenzhen University Shenzhen China

National Key Laboratory of Green and Long‐Life Road Engineering in Extreme Environment (Shenzhen) Shenzhen University Shenzhen China

Guangzhou Institute of Technology and School of Mechano‐Electronic Engineering Xidian University Guangzhou China

Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong China

Institute of Artificial Intelligence, School of Future Technology Shanghai University Shanghai China

Department of Medical Ultrasound, West China Hospital Sichuan University Chengdu China

Institute of Intelligent Design and Manufacturing The Chinese University of Hong Kong Hong Kong China

Funding

National Natural Science Foundation of China · Research Grants Council, University Grants Committee · Chinese University of Hong Kong

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