This paper presents a distributed mission planning system that enables a team of autonomous underwater vehicles (AUVs) for effective underwater chlorophyll sampling. The proposed system is developed based on a distributed algorithm that optimizes the real-time task allocation and mission planning of AUVs in a cooperative fashion while considering environmental and vehicular constraints to ensure efficient and coordinated sampling efforts. A realistic case study of a chlorophyll sampling mission in Australia's Great Barrier is utilized to investigate the performance of the proposed system in a restricted mission time and in the exposure to the uncertainty of the mission. Simulation studies confirm the effectiveness and resilience of the proposed system and showcase its potential as a valuable tool for advancing underwater chlorophyll sampling missions.
AUVs' Distributed Mission Planning System for Effective Underwater Chlorophyll Sampling
2024-02-12
1383782 byte
Conference paper
Electronic Resource
English
Underwater acoustic telemetry for AUVs
IET Digital Library Archive | 1996
|Improved underwater acoustic communication for AUVs
Tema Archive | 1990
|MCL: A mission control language for AUVs
Tema Archive | 2007
|Guidance of AUVs for Autonomous Underwater Inspection
Tema Archive | 2015
|