Link Prediction and Route Selection Based on Channel State Detection in UASNs

In Underwater Acoustic Sensor Networks (UASNs), data route is often disrupted by link interruption which will further lead to incorrect data transmission due to high propagation delay, Doppler effect, and the vulnerability of water environment in acoustic channel. So how to correctly transmit data when there are interrupted links on the data path is just the issue Delay Tolerant Networks (DTNs) aim to solve. In this paper, the authors propose a model to predict link interruption and route interruption in UASNs by the historical link information and channel state obtained by periodic detection.