Dynamic- and Static-priority Scheduling of Recurring Real-time Tasks
Real-Time Systems
Performance aware tasking for environmentally powered sensor networks
Proceedings of the joint international conference on Measurement and modeling of computer systems
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Solar-aware clustering in wireless sensor networks
ISCC '04 Proceedings of the Ninth International Symposium on Computers and Communications 2004 Volume 2 (ISCC"04) - Volume 02
Perpetual environmentally powered sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Real-Time Scheduling with Regenerative Energy
ECRTS '06 Proceedings of the 18th Euromicro Conference on Real-Time Systems
An energy-efficient real-time scheduling scheme on dual-channel networks
Information Sciences: an International Journal
Optimal service level allocation in environmentally powered embedded systems
Proceedings of the 2009 ACM symposium on Applied Computing
Power management in energy harvesting embedded systems with discrete service levels
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
Solar powered sensor network design and experimentation
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
Design of a solar-harvesting circuit for batteryless embedded systems
IEEE Transactions on Circuits and Systems Part I: Regular Papers
An energy management framework for energy harvesting embedded systems
ACM Journal on Emerging Technologies in Computing Systems (JETC)
On the limits of effective hybrid micro-energy harvesting on mobile CRFID sensors
Proceedings of the 8th international conference on Mobile systems, applications, and services
Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
Dynamic power management in environmentally powered systems
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
Dewdrop: an energy-aware runtime for computational RFID
Proceedings of the 8th USENIX conference on Networked systems design and implementation
A real-time scheduling framework for embedded systems with environmental energy harvesting
Computers and Electrical Engineering
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
Fixed Priority Scheduling Strategies for Ambient Energy-Harvesting Embedded Systems
GREENCOM '11 Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications
SunCast: fine-grained prediction of natural sunlight levels for improved daylight harvesting
Proceedings of the 11th international conference on Information Processing in Sensor Networks
An energy aware approach for task scheduling in energy-harvesting sensor nodes
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Adaptive scheduling of real-time systems cosupplied by renewable and nonrenewable energy sources
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on ESTIMedia'10
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Energy harvesting has recently emerged as a feasible option to increase the operating time of sensor networks. If each node of the network, however, is powered by a fluctuating energy source, common power management solutions have to be reconceived. This holds in particular if real-time responsiveness of a given application has to be guaranteed. Task scheduling at the single nodes should account for the properties of the energy source, capacity of the energy storage as well as deadlines of the single tasks. We show that conventional scheduling algorithms (like e.g. EDF) are not suitable for this scenario. Based on this motivation, we have constructed optimal scheduling algorithms that jointly handle constraints from both energy and time domain. Further we present an admittance test that decides for arbitrary task sets, whether they can be scheduled without deadline violations. To this end, we introduce the concept of energy variability characterization curves (EVCC) which nicely captures the dynamics of various energy sources. Simulation results show that our algorithms allow significant reductions of the battery size compared to Earliest Deadline First scheduling.