Abstract
Abstract—Energy constrained systems such as sensor networks can increase their usable lifetimes by extracting energy from their environment. This is known as energy harvesting. Task scheduling at the single nodes should account for the properties of the regenerative energy source which fluctuates, capacity of the energy storage as well as deadlines of the time critical tasks. Designing efficient scheduling strategies is significantly more complex compared to conventional real-time scheduling. In this paper, we present a simulator that enables to construct an optimal schedule using the so-called LSA algorithm, for any task set, battery capacity and energy source profile.
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