Low Power Digital CMOS Design
Power Aware Design Methodologies
Power Aware Design Methodologies
Discharge Current Steering for Battery Lifetime Optimization
IEEE Transactions on Computers
Proceedings of the conference on Design, automation and test in Europe - Volume 1
System-Level Design Techniques for Energy-Efficient Embedded Systems
System-Level Design Techniques for Energy-Efficient Embedded Systems
Design considerations for solar energy harvesting wireless embedded systems
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Perpetual environmentally powered sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Everlast: long-life, supercapacitor-operated wireless sensor node
Proceedings of the 2006 international symposium on Low power electronics and design
Single inductor, multiple input, multiple output (SIMIMO) power mixer-charger-supply system
ISLPED '07 Proceedings of the 2007 international symposium on Low power electronics and design
PicoCube: a 1 cm3 sensor node powered by harvested energy
Proceedings of the 45th annual Design Automation Conference
Power/energy estimator for designing WSN nodes with ambient energy harvesting feature
EURASIP Journal on Embedded Systems - Special issue on networked embedded systems for energy management and buildings
Hi-index | 0.00 |
Emerging Wireless Sensor Networks (WSN) consist of spatially distributed autonomous sensors. Although an embedded battery has limited autonomy, most WSNs outperform this drawback by harvesting ambient energy from the environment. Nevertheless, this external energy is very variable and mainly depends on weather evolution. Therefore, including weather at design stage and weather forecasts at runtime is essential for autonomy management. This paper presents a Power Estimator to simulate node autonomy for various weather conditions and locations. This work also addresses the integration of Weather Forecasts in the Dynamic Power Management policy (WF-DPM). These two contributions significantly improve the system scaling and the energy availability prediction to help to achieve better node autonomy duration. Experimental results compared various locations to study the weather impact on the system autonomy.