A Scheme for Cooperative-Escort Multi-Submersible Intelligent Transportation System Based on SDN-Enabled Underwater IoV

As an emerging multi-submersible system, Human Occupied Vehicle (HOV) under a convoy of a set of Autonomous Underwater Vehicles (AUVs) is regarded as the future framework for underwater exploration. In this work, to improve the interoperability and communication efficiency of the multi-submersible formations, we treat the multi-submersible system as a paradigm of the underwater Internet of Vehicle (IoV) and show how to utilize the Software-Defined Networking (SDN) technique to optimize the system architecture. With the assistance of SDN, we consider the ocean current factors and propose an artificial flow potential field algorithm that combines the artificial potential field algorithm and the gradient descent algorithm, to plan the path for the multi-submersible system. In particular, to improve the safety and efficiency of path planning, we propose a dual leader-follower algorithm-based escort formation obstacle avoidance mechanism for dealing with all categories of obstacle avoidance situations. Simulation tests show that the proposed scheme performs better in data delivery among the multi-submersible system, at a lower energy cost. And it shows high stability and strong practicability in multi-submersible formation control and path planning, respectively.

Automated summary

In this work, a multi-submersible system is treated as a paradigm of the underwater Internet of Vehicle (IoV) and optimized using Software-Defined Networking (SDN) technique. An artificial flow potential field algorithm is proposed for path planning, considering ocean current factors. A dual leader-follower algorithm-based escort formation obstacle avoidance mechanism is proposed to improve the safety and efficiency of path planning. Simulation tests show that the proposed scheme performs better in data delivery and has high stability and strong practicability in multi-submersible formation control and path planning.