Data Collection Scheme for Underwater Sensor Cloud System Based on Fog Computing.

The scheme design of data collection for Underwater Acoustic Sensor Networks (UASNs) poses many challenges due to long propagation, high mobility, limited bandwidth, multi-path and Doppler Effect. In this paper, unlike the traditional underwater sensor network architecture (single sink or multi-sink), we proposed a novel underwater sensor cloud system based on fog computing in view of time-critical underwater applications. In such an architecture, fog nodes with great computation and storage capacity are responsible for computing, dimension reduction and redundant removal for data collected from physical sensor nodes, and then transfer the processed and compressed data to surface center sink node. After that, the center sink sends the received data from fog nodes to cloud computing center. In addition, in this paper we present distance difference and waiting area-based routing protocol, called DDWA. Finally, in comparison with RDBF, naive flooding and HH-VBF, we conduct extensive simulations using NS-3 simulator to verify the effectiveness and validity of the proposed data collection scheme in the context of the proposed architecture.