Evaluating Energy-Efficient Schedulers on Underwater Acoustic Data

In this work, we evaluate energy-efficient schedulers for underwater acoustic point-to-point links on experimental data. We use the communication performance collected during KAM11, in order to estimate the channel statistics. We run an optimal, a heuristic, and a blind scheduler on these collected time series.