The equation seen above describes the Doppler effect with water waves. A layman terms example, of an observer where the frequency of the waves is changed, is somebody is paddling a boat \cite{sound}. This makes the wave become distorted. Due the the fact that barometric pressure changes underwater, wind frequency, buoyancy and other factors, one will always have a distorted underwater wave frequency. This prevents you from utilizing traditional wireless communication mechanisms.

We collected data utilizing real-time software defined networks. Compared to YSI's model 6600 v2 and other sensory networks, we use more efficient and less technological infrastructure, making us much cheaper. Our sensors can even replace biochemical testing as well. Beach water testing methods or approaches that take experimentation and over 24 hours to get data are no longer a problem. We are replacing over $30k+ worth of equipment with cost efficient devices. Our sensory modules include the following: Moisture and PH reader (Model 1), (Optical and Nano-Sensory (Model 2), and we have a P2P Connection module (Peer 2 Peer or Point 2 Point) that allows the extension of our wireless reaches. We can help predict when we would need to do nutrient offloading or monitor chlorophyll A using Model 2’s optical sensory system or Spectrophotometry.