Thermocline

Oceanography

Algorithm

Geology

Engineering

Path length

Remotely operated underwater vehicle

Artificial intelligence

Archaeology

Underwater acoustic communication

Marine engineering

Mobile robot

Geography

Obstacle

Path (computing)

Computer network

Underwater glider

Ant colony optimization algorithms

Computer science

Simulation

Ant colony

Obstacle avoidance

Glider

Real-time computing

Motion planning

Robot

Underwater

IEEE Transactions on Vehicular Technology

Underwater gliders are being increasingly used for data collection, and the development of methods for optimizing their routes has become a topic of active research. With this aim in mind, in this paper, a complete-coverage path-planning obstacle-avoidance (CCPP-OA) algorithm that ensures avoidance for underwater gliders in sea areas with thermoclines is proposed. First, the entire sea area with the thermocline layer is stratified based on the underwater communication radii of the gliders. Next, the glide angles and initial navigation points of the gliders are determined based on their communication radii at each level to construct the complete-coverage path. Finally, by combining the ant colony algorithm and the determined initial navigation points, the complete-coverage path with obstacle avoidance is planned for the gliders. Simulation results show that the proposed CCPP-OA algorithm enables complete coverage of the entire sea area. Furthermore, the length of the planned path is shorter and the amount of energy consumed is less than that of other algorithms.

Ant-Colony-Based Complete-Coverage Path-Planning Algorithm for Underwater Gliders in Ocean Areas With Thermoclines