Sampling optimization for networked underwater gliders

This paper focuses on coverage sampling over a given region by a fleet of underwater gliders. The coverage performance is evaluated by the observing uncertainty performed by Objective Analysis (OA). Deployed gliders are commonly restricted to move through transects along which the data collected are convenient for data assimilation. We optimize the initial location and the initial heading of each glider that are deployed into an interested region by using Generic Algorithm (GA). Two cases of environmental sampling tasks are used for verifying the proposed approach.