Sleep power minimisation using adaptive duty-cycling of DC-DC converters in state-retentive systems

被引:1
作者
Balsamo, Domenico [1 ]
Brunelli, Davide [2 ]
Paci, Giacomo [1 ]
Benini, Luca [1 ]
机构
[1] Univ Bologna, Dept Elect Elect & Informat Engn, I-40136 Bologna, Italy
[2] Univ Trento, Dept Ind Engn DII, I-38128 Trento, Italy
关键词
WIRELESS SENSOR NETWORKS; MANAGEMENT; CIRCUIT; TIME;
D O I
10.1049/iet-cds.2013.0466
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Aggressive power management techniques, which combine hardware and software solutions, are fundamental for embedded computing platforms today, especially if they are battery operated. This paper proposes an adaptive low-level algorithm, which modulates the DC-DC converter activation for minimising quiescent current consumption. This algorithm allows a discontinuous usage of the DC-DC converter during the sleep time, without requiring modification in the user's main program, by powering the system solely with the internal DC-DC converter capacitor and without using any other additional capacitors as an energy buffer. The algorithm computes the maximum interval between consecutive wake-ups necessary for the capacitor recharging at run-time. Intervals are decided by taking into account both the global leakage and the temperature-dependent variations of the capacitor. The proposed solution significantly enhances the lifetime of applications with a low activity rate, such as wireless sensor networks, while still guaranteeing efficient power delivery for high-current demand intervals.
引用
收藏
页码:478 / 486
页数:9
相关论文
共 34 条
[1]   Energy-Efficient Algorithms [J].
Albers, Susanne .
COMMUNICATIONS OF THE ACM, 2010, 53 (05) :86-96
[2]   Energy Management in Wireless Sensor Networks with Energy-Hungry Sensors [J].
Alippi, Cesare ;
Anastasi, Giuseppe ;
Di Francesco, Mario ;
Roveri, Manuel .
IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, 2009, 12 (02) :16-23
[3]   Extending the Lifetime of Wireless Sensor Networks Through Adaptive Sleep [J].
Anastasi, Giuseppe ;
Conti, Marco ;
Di Francesco, Mario .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2009, 5 (03) :351-365
[4]   Energy conservation in wireless sensor networks: A survey [J].
Anastasi, Giuseppe ;
Conti, Marco ;
Di Francesco, Mario ;
Passarella, Andrea .
AD HOC NETWORKS, 2009, 7 (03) :537-568
[5]  
[Anonymous], SENSORS
[6]   Energy harvesting from wind and water for autonomous wireless sensor nodes [J].
Azevedo, J. A. R. ;
Santos, F. E. S. .
IET CIRCUITS DEVICES & SYSTEMS, 2012, 6 (06) :413-420
[7]  
Beutel J, 2006, DES AUT TEST EUROPE, P976
[8]   Distributed Compressive Sampling for Lifetime Optimization in Dense Wireless Sensor Networks [J].
Caione, Carlo ;
Brunelli, Davide ;
Benini, Luca .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2012, 8 (01) :30-40
[9]   Improving Energy Efficiency in a Wireless Sensor Network by Combining Cooperative MIMO With Data Aggregation [J].
Gao, Qiang ;
Zuo, Yi ;
Zhang, Jun ;
Peng, Xiao-Hong .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2010, 59 (08) :3956-3965
[10]   EARQ: Energy Aware Routing for Real-Time and Reliable Communication in Wireless Industrial Sensor Networks [J].
Heo, Junyoung ;
Hong, Jiman ;
Cho, Yookun .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2009, 5 (01) :3-11