Edge computing system for monitoring of the aquatic ecosystems

Abstract

Rapid advances in the development of IoT and edge computing technologies have led to innovative solutions for environmental monitoring. In this paper is presented an edge computing system designed for real-time monitoring of aquatic ecosystems, which addresses the need for efficient processing of environmental state data. The system uses a swarm of mobile edge computing nodes, deployed on drone platforms, to monitor strategic areas in the aquatic environment, collecting, processing and analyzing data on-site, thereby reducing reliance on data transport infrastructure and the cloud centralized. Real-time data analysis enables early detection of environmental anomalies or threats, enabling their location and rapid interventions to protect aquatic life and ecosystems. The system architecture ensures scalability, reliability and algorithmic efficiency, making it a promising solution for various application domains.