Poster: Optimized Ensemble Based Data Classification for Marine Mobile Communication

Abstract

Mobile communication provides the medium by which maritime safety information, boat location information, weather forecasts and other services, can be disseminated to boats at sea. For a vessel in trouble, the accuracy and update rate of boat's position reporting aids rescue, thereby avoiding the loss of the boat and saving the lives of the fishermen or preventing an environmental disaster. Our work exploits the power of evolutionary algorithm and machine learning to optimize and classify the boats at sea according to their environmental conditions and mobile signal strength which helps in effective decision making in marine sector.