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Design and optimization on dynamic power system for self-powered integrated wireless sensing nodes

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4 Author(s)
Dongsheng Ma ; Electr. & Comput. Eng. Dept., The Univ. of Arizona, Tucson, AZ, USA ; Wang, J.M. ; Somasundaram, M.N. ; Zongqi Hu

This paper presents an integrated power system for low-power wireless sensor networks with dynamic efficiency optimization technique. By adaptively resizing power transistors and adjusting switching frequency, system efficiency is enhanced significantly. Theoretical analysis is elaborated to support the proposed technique. A prototype integrated power system for self-powered photovoltaic wireless sensing node was designed and simulated with TSMC 0.35μm CMOS process. With a power range of 0.5μW to 10mW, power efficiency stays above 71%. Tolerance between theoretical and simulated optimal power transistor sizes is less than 6.7%, while that of optimal switching frequencies is less than 5%. The paper gives another solution to minimizing system power in the perspective of power processing.

Published in:

Low Power Electronics and Design, 2005. ISLPED '05. Proceedings of the 2005 International Symposium on

Date of Conference:

8-10 Aug. 2005

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