An Energy Supply System for Wireless Sensor Network Nodes | Zendy

Guoqiang Zheng | Zendy; Liwei Zhang | Zendy; Jishun Li | Zendy

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An Energy Supply System for Wireless Sensor Network Nodes

Author(s) -

Guoqiang Zheng,

Liwei Zhang,

Jishun Li

Publication year - 2012

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2012/603709

Subject(s) - energy harvesting , wireless sensor network , computer science , energy supply , key distribution in wireless sensor networks , wireless , impedance matching , energy (signal processing) , rectifier (neural networks) , power (physics) , voltage , wireless network , electrical engineering , electrical impedance , telecommunications , computer network , engineering , statistics , stochastic neural network , mathematics , physics , quantum mechanics , machine learning , recurrent neural network , artificial neural network

The power source is a critical obstacle for wireless sensor network nodes. In order to prolong the lifetime of wireless sensor networks, this paper presents an energy supply system that uses a specially designed broadband piezoelectric energy harvesting technology for sustaining the operation of wireless sensor network nodes. The proposed energy supply circuit can apply an optimal control voltage to the piezoelectric element to ensure impedance matching between the vibration source and the energy supply system in nonresonance frequencies. As compared to the conventional piezoelectric energy harvesting circuit, it is shown that the efficiency has been increased 4 times. In this work, the overall system structure, the function modules design, and the performance testing analysis are illuminated in detail. Experimental results reveal that this energy supply system can significantly improve power within the wide bands by the active piezoelectric energy harvesting technology and enable wireless sensor network nodes to operate normally. © Copyright 2012 Guoqiang Zheng et al.

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