Wireless sensor network based real-time turbidity monitoring system for floating fish cage

Abstract

This paper develops a wireless sensor network (WSN)-based real-time turbidity monitoring system for a floating fish cage. Turbidity is the degree to which the optical clarity of water is affected by impurities. The developed system adapts the FreeRTOS operating system to guarantee real-time monitoring under a WSN environment. The sensor node has three turbidity sensors, which are deployed underwater to collect location-based data. We propose a protocol for WSN on the fixed floating fish cage to easily implement the monitoring system and we use a Kalman filter to eliminate sensor noise. The measurement results are presented to demonstrate the monitoring system's usefulness. ? ICROS 2018.