Advanced Approach of Multiagent Based Buoy Communication.

Area of Science:

• Environmental Science
• Computer Science
• Oceanography

Background:

• Hydrometeorological information systems face challenges with excessive data flow and varying data levels.
• Existing systems require efficient methods for data management and communication between monitoring nodes.

Purpose of the Study:

• To present advanced buoy communication technologies utilizing multiagent interaction.
• To enhance the performance of hydrometeorological information systems through improved data management.

Main Methods:

• Implementation of a multiagent interaction and data exchange system for buoys.
• Application of a clustering algorithm for managing buoy communication.
• Design and analysis of an autonomous monitoring network in the Baltic Sea.

Main Results:

• The proposed clustering algorithm enhances the performance of the hydrometeorological information system.
• The multiagent buoy communication system effectively manages data from autonomous monitoring networks.
• The system allows continuous monitoring and collection of temperature, waviness, and other data.

Conclusions:

• Multiagent-based buoy communication offers an effective solution for managing large hydrometeorological data streams.
• The developed system enhances monitoring capabilities in challenging marine environments like the Baltic Sea.
• Cost-effective and reliable autonomous monitoring networks can be established using this approach.