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) |
|---|---|
| Title of host publication | Proceedings of the International Symposium on Low Power Electronics and Design |
| Pages | 303-306 |
| Number of pages | 4 |
| State | Published - 2005 |
| Event | 2005 International Symposium on Low Power Electronics and Design - San Diego, CA, United States Duration: Aug 8 2005 → Aug 10 2005 |
Other
| Other | 2005 International Symposium on Low Power Electronics and Design |
|---|---|
| Country | United States |
| City | San Diego, CA |
| Period | 8/8/05 → 8/10/05 |
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Keywords
- Charge pump
- DC-DC converter
- Dynamic power loss control
- Power efficiency
- Wireless sensing node
ASJC Scopus subject areas
- Engineering(all)
Cite this
Design and optimization on dynamic power system for self-powered integrated wireless sensing nodes. / Ma, Dongsheng; Wang, Meiling; Somasundaram, Mohankumar N.; Hu, Zongqi.
Proceedings of the International Symposium on Low Power Electronics and Design. 2005. p. 303-306.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Design and optimization on dynamic power system for self-powered integrated wireless sensing nodes
AU - Ma, Dongsheng
AU - Wang, Meiling
AU - Somasundaram, Mohankumar N.
AU - Hu, Zongqi
PY - 2005
Y1 - 2005
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
UR - http://www.scopus.com/inward/record.url?scp=28444457803&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=28444457803&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:28444457803
SP - 303
EP - 306
BT - Proceedings of the International Symposium on Low Power Electronics and Design
ER -