Title
Circuits for energy harvesting sensor signal processing
Abstract
The recent explosion in capability of embedded and portable electronics has not been matched by battery technology. The slow growth of battery energy density has limited device lifetime and added weight and volume. Passive energy harvesting from solar radiation, thermal sources, or mechanical vibration has potentially wide application in wearable and embedded sensors to complement batteries. The amount of energy from harvesting is typically small and highly variable, requiring circuits and architectures which are low power and can scale their power consumption with user requirements and available energy. We describe several circuit techniques for achieving these goals in signal processing applications for wireless sensor network nodes such as using Distributed Arithmetic to implement energy scalable signal processing algorithms. In addition, we propose increasing vibration energy harvesting efficiency by eliminating AC/DC conversion electronics, and have investigated self-timed circuits, power-on-reset circuitry, and memory for energy harvesting AC power supplies. These techniques can also be applied to energy harvesting from other sources. A chip will be fabricated to test the proposed circuits.
Year
DOI
Venue
2006
10.1109/DAC.2006.229274
San Francisco, CA
Keywords
Field
DocType
distributed arithmetic,network synthesis,power integrated circuits,power supply circuits,sensor fusion,solar absorber-convertors,wireless sensor networks,AC power supply,battery technology,distributed arithmetic,dynamic memory,energy harvesting,power-on-reset circuits,self-timed circuits,sensor signal processing,signal processing applications,wireless sensor network,AC power supplies,Design,dynamic memory,energy harvesting,power-on-reset,self-timed circuits
Signal processing,Computer science,Energy harvesting,Electronic engineering,AC power,Electronics,Electronic circuit,Available energy,Battery (electricity),Wireless sensor network,Electrical engineering
Conference
ISSN
ISBN
Citations 
0738-100X
1-59593-381-6
15
PageRank 
References 
Authors
1.73
10
4
Name
Order
Citations
PageRank
Amirtharajah, R.1151.73
Wenck, J.2151.73
Collier, J.3353.45
Siebert, J.4353.45