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

Dongsheng Ma; Janet M. Wang; Mohankumar N. Somasundaram; Zongqi Hu

doi:10.1145/1077603.1077675

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

Dongsheng Ma, Janet M. Wang, Mohankumar N. Somasundaram, Zongqi Hu

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

6 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	303-306
Number of pages	4
Journal	Proceedings of the International Symposium on Low Power Electronics and Design
DOIs	https://doi.org/10.1145/1077603.1077675
State	Published - Jan 1 2005
Event	2005 International Symposium on Low Power Electronics and Design - San Diego, CA, United States Duration: Aug 8 2005 → Aug 10 2005

Keywords

Charge pump
DC-DC converter
Dynamic power loss control
Power efficiency
Wireless sensing node

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1145/1077603.1077675

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title = "Design and optimization on dynamic power system for self-powered integrated wireless sensing nodes",

abstract = "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.",

keywords = "Charge pump, DC-DC converter, Dynamic power loss control, Power efficiency, Wireless sensing node",

author = "Dongsheng Ma and Wang, {Janet M.} and Somasundaram, {Mohankumar N.} and Zongqi Hu",

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AU - Wang, Janet M.

AU - Somasundaram, Mohankumar N.

AU - Hu, Zongqi

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N2 - 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.

AB - 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.

KW - Charge pump

KW - DC-DC converter

KW - Dynamic power loss control

KW - Power efficiency

KW - Wireless sensing node

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