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The authors focus on resource allocation for energy harvesting devices. They analytically and numerically evaluate the performance of algorithms that determine time fair energy allocation in systems with predictable and stochastic energy inputs. To gain insight into the performance of networks of devices, they obtain results for the simple cases of a single node and a link. Due to the need for low complexity algorithms, they focus on simple policies (some of which proposed in the past as heuristics) and analytically derive performance guarantees. They also evaluate the performance via simulation, using real-world energy traces that they collected for over a year, and in a testbed of energy harvesting devices developed within the EnHANTs project.
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