A Survey on Big Marine Wireless Optical Data:Key Factors and Recent Trends

The Big Marine Data is a new concept derived from the underwater optical communication scheme. For BMD applications, the underwater wireless optical communication (UWOC) approach leverages its large bandwidth and minimal attenuation effect in the visible region, which sets it apart from other existing communication systems such underwater acoustic and radio frequency communications. The enormous amount of data collected by sensors, cameras, AUVs etc. from the ocean give rise to the analytics of marine data. An emerging highly efficient communication is needed for the collection of these large amount of data. The underwater replacement of IoT may be a solution; Internet of Underwater Things (IoUT).In order to handle the huge amount of data the conventional data analysis methods are not useful. Hence a machine learning approach is developed for extracting the detailed behavior, information etc. of BMD. The purpose of this paper is to synthesize the optical wireless ocean atmosphere and hence get a huge amount of data named BMD. Different modulation and machine learning approaches may be used depending on the undersea channel's characteristics. This review also covers the key factors that could influence BMD analysis as well as the different machine learning techniques that are employed in the synthesis and analysis of marine data.