Development of Algorithm for Blockchain and Artificial Intelligence Collaboration to Identify Travel Path of UAVs

Abstract

Computational intelligence is the backbone of the next generation applications like unmanned aerial vehicle, man less missions; and aerospace research. Blockchain technology and artificial intelligence can be collaborated to achieve secure executions. This paper presents the new algorithm “UAV Path Predictor” which intends to predict the optimum secure path coordinates. It is necessary to pre-define the travel path of the UAV based on surveillance target geographical territory. In case of existing flight path availability, it is important to store possible shortest path coordinates as a historic dataset which can be referred for future flight of UAVs. Also, if multiple UAVs flights are scheduled concurrently, there is a possibility of collision hence, for improved security proposed method suggests the CNN module which recurrently analyzes the multiple paths which gets stored in blockchain blocks. Thus, blockchain provides fast processing with the collaboration of CNN module collaboration.