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.
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Escolar et al. (2013) studied this question.
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