RETRACTED ARTICLE: Optimal path for fault identification of marine communication network in the background of big data

Abstract

With the rapid development of computer network, it has been successfully applied in marine communication, which brings convenience to information exchange. In recent years, people put forward higher requirements for the safety, efficiency, and stability of the marine communication network (MCN), so that the rapid detection and location of the MCN fault is of great significance, and the fault identification of the MCN is the basis of the fault location, so the design of the MCN fault identification method with excellent performance has always been the goal of people. In order to improve the accuracy of MCN fault identification, aiming at some defects of current MCN fault identification, a fault identification method of MCN based on big data analysis is proposed, and the superiority of this method and the reliability of the identification results are verified by the specific MCN fault identification experiments.