New method and algorithm for Mobile Agents Collision Detection with Dynamic Obstacles in 3D Space

摘要

This research is extension of previous research on method of Collaborative and Non-Collaborative Dynamic Path Prediction Algorithm for Mobile Agents Collision Detection with Dynamic Obstacles in 3D Space. Research is inspired by human behavior in group of other human objects. Several new terms are proposed in previous researches for which background and introduction are explained in previous papers such as Metamorphous Hyperspace, Relevant predicted collision time, Coefficient of agility etc. Solving Velocity, Coefficient of agility and Minimal sampling frequency issues finally completes this method. The method allows full decentralization of collision detection which allows many advantages from minimizing of network traffic to simplifying of inclusion of additional agents in relevant space. Implementation of the algorithm will be low resource consuming allowing mobile agents to free resources for additional tasks. This method and algorithm can be used in ground, floating or flying objects.