ABSTRACT
Solar-powered sensor nodes with energy storages are widely used today and promising in the coming trillion sensor era, as they do not require manual battery charging or replacement. The changeable and limited solar power supply seriously affects the deadline miss rates (DMRs) of tasks on these nodes and therefore energy-driven task scheduling is necessary. However, current algorithms focus on the single period (or the current task queue) for high energy utilization and suffer from bad long term DMR. To get better long term DMR, we propose a long term deadline-aware scheduling algorithm with energy migration strategies for distributed super capacitors. Experimental results show that the proposed algorithm reduces the DMR by 27.8% and brings less than 3% of the total energy consumption.
- C. Moser, L. Thiele, et al. Adaptive power management in energy harvesting systems. In DATE, pages 773--778, 2007. Google ScholarDigital Library
- C. Moser, J. Chen, et al. Reward maximization for embedded systems with renewable energies. In RTCSA, pages 247--256, 2008. Google ScholarDigital Library
- J. Piorno, C. Bergonzini, et al. Hollows: A power-aware task scheduler for energy harvesting sensor nodes. Journal of Intelligent Material Systems and Structures, 21(12):1317--1335, 2010.Google ScholarCross Ref
- T. Zhu, A. Mohaisen, et al. Deos: Dynamic energy-oriented scheduling for sustainable wireless sensor networks. In INFOCOM, pages 2363--2371, 2012.Google ScholarCross Ref
- S. Liu, J. Lu, et al. Load-matching adaptive task scheduling for energy efficiency in energy harvesting real-time embedded systems. In ISLPED, pages 325--330, 2010. Google ScholarDigital Library
- S. Liu, J. Lu, et al. Harvesting-aware power management for real-time systems with renewable energy. IEEE Transactions on Very Large Scale Integration Systems, 20(8):1473--1486, 2012. Google ScholarDigital Library
- Y. Wang, R. Chen, et al. Solartune: Real-time scheduling with load tuning for solar energy powered multicore systems. In RTCSA, pages 101--110, 2013.Google ScholarCross Ref
- X. Lin, Y. Wang, et al. A framework of concurrent task scheduling and dynamic voltage and frequency scaling in real-time embedded systems with energy harvesting. In ISLPED, pages 70--75, 2013. Google ScholarDigital Library
- D. Zhang, S. Li, et al. Intra-task scheduling for storage-less and converter-less solar-powered nonvolatile sensor nodes. In ICCD, pages 348--354, 2014.Google ScholarCross Ref
- C. Wang, N. Chang, et al. Storage-less and converter-less maximum power point tracking of photovoltaic cells for a nonvolatile microprocessor. In ASPDAC, pages 379--384, 2014.Google Scholar
- X. Sheng, C. Wang, et al. A high-efficiency dual-channel photovoltaic power system for nonvolatile sensor nodes. In NVMSA, pages 1--2, 2014.Google ScholarCross Ref
- D. Brunelli, C. Moser, et al. Design of a solar-harvesting circuit for battery-less embedded systems. IEEE Transactions on Circuits and Systems I, 56(11):2519--2528, 2009. Google ScholarDigital Library
- Y. Wang, Y. Liu, et al. A 3us wake-up time nonvolatile processor based on ferroelectric flip-flops. In ESSCIRC, pages 149--152, 2012.Google ScholarCross Ref
- Y. Wang, Y. Liu, et al. Pacc: A parallel compare and compress codec for area reduction in nonvolatile processors. IEEE Transactions on Very Large Scale Integration Systems, 22(7):1491--1505, 2014.Google ScholarCross Ref
- Measurement and Instrumentation Data Center (MIDC), http://www.nrel.gov/midc/.Google Scholar
Index Terms
- Deadline-aware task scheduling for solar-powered nonvolatile sensor nodes with global energy migration
Recommendations
Solar Power Prediction Assisted Intra-task Scheduling for Nonvolatile Sensor Nodes
With the advent of the era of trillion sensors, solar-powered sensor nodes are widely used as they do not require battery charging or replacement. However, the limited and intermittent solar energy supply seriously affects deadline miss rate (DMR) of ...
Energy-Aware task scheduler for self-powered sensor nodes
The self-powering paradigm surely represents a challenging issue in the Wireless Sensor Network (WSN) field. The chance of supplying the sensor node with environmental energy is attractive not only to make it autonomous and reduce the human intervention ...
Solar Energy Harvester for Industrial Wireless Sensor Nodes
Advancement in recent wireless technology has triggered the need for devices to run on independent power sources. This is evident especially with the wireless sensor network (WSN). This can be accomplished via harvesting energy from the surrounding ...
Comments