LAGO-ON is a two-years projects, aiming to investigate the following tasks:

• Task 1.1 - Reference scenario specifications: it will first identify a set of relevant underwater application scenarios, where localization information can benefit from the proposed technology development. Different levels of accuracy will be identified, for different application scenarios both considering shallow and deepwater applications.
• Task 1.2 - Specific building blocks and system architecture: according to selected underwater applications from T1.1, in this task we will determine technical solutions in terms of both optical and electronic hardware to realize the proposed IoUT network system for localization purpose, as drawn in Fig.1.

  

  This task will also include the preliminary considerations on the cost of the devices for the setup of the IoUT system.
• Task 2.1 - Underwater VLP algorithms: according to different accuracy levels as detailed in the outcomes of T1.1, in this task we will develop novel underwater localization metrics based on hybrid metrics (e.g., RSS and TDOA) and Artificial Intelligence-based algorithms.
• Task 2.2 - System integration: in this task we will focus on the system integration, where novel localization techniques developed in T2.1 will be carried out into realistic underwater scenarios, according to the system blocks identified in T1.2.
• Task 3.1 - In dry-lab VLP tests: initially, we will focus on the operational and functional tuning in air of the complete technology of the UVLP system.
• Task 3.2 - In wet-lab VLP tests: preliminary small-scale wetted tests will be carried out in order to define in an experimental context with controlled light the behavior of the VLP system, for different measurable environmental scenarios (with pseudo-sun-light intensity and water's turbidity levels imposed). Then, a second test will consist of the full-scale VLP system to be deployed and tested in one of the indoor large-scale CNR's facilities.
• Task 3.3 - Test validation: the validation of the tests will be carried out, mainly expressed as localization accuracy and precision, tracking probability, latency and synchronization time.

LAGO-ON project proposes an OWC system architecture capable of achieving accurate underwater positioning even in moving platforms is expected to play a significant role and take advantage of new technologies in the future underwater wireless sensor communication network (UWSN) and on the IoUT paradigm.
Considering the deepwater domain (see Fig.2)

in which key man-made activities are carried out offshore, the LAGO-ON project could provide new insight aimed at improving complex operations in the field of the oil&gas industry that require accurate positioning to ensure safe operation for saturation divers, often operating near drilling stations or during pipeline installation and maintenance (Fig.3-A).

Also, the maintenance of oil/gas platform (e.g. jack-up platform, Fig.3-B),

as well as, energetic facilities (e.g. offshore wind farms) monitoring, could be sped up and automated by using Remotely Operated Vehicle for Exploration and Reconnaissance (ROVER) capable of manoeuvring with extremely precision near wind turbines piles (Fig.3-C).