Power management in energy harvesting sensor networks
ACM Transactions on Embedded Computing Systems (TECS) - Special Section LCTES'05
Optimization of Quality of Service in Wireless Sensor Networks Powered by Solar Cells
ISPA '12 Proceedings of the 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications
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Solar cells combined with power management algorithms enable the dynamic scheduling of Wireless Sensor Networks applications in a reference period, where the objective of the scheduling is to maximize the application quality level while conserving an energy level sufficient to constantly maintain the sensor operation. In this paper we consider networked, solar cells powered wireless sensors and we propose an algorithm aims to find a global, (sub)optimal scheduling that maximizes the overall quality of service in the sensors and keeps the system energy neutral, thus ensuring that the system works uninterruptedly.