Modeling realistic underwater acoustic networks using experimental data

Since underwater network experiments are logistically challenging and expensive to conduct, many researchers evaluate the performance of their protocols through simulation. The validity of simulation results strongly depends on the accuracy of the channel model used. Most network simulators either neglect time variability of links, or model the variability to be independent across links. Both approaches are questionable approximations of reality, since link performance strongly depends on environmental factors that may vary with space and time. We use data from underwater network experiments to measure and model the spatiotemporal variability of network performance. This approach allows researchers to test protocols in realistic simulation environments driven by representative experimental datasets, long after the experiments are conducted.