A Review of Internet of Things-based Water Quality Monitoring Systems in Aquaculture

Abstract

Monitoring of aquaculture water quality parameters has become imperative in recent times in view of the colossal impact of disease outbreak to fish farming businesses. Traditional methods of monitoring aquaculture parameters such as chemical sampling Methods as well as experience Method have since given way to the era of Wireless Sensor network based monitoring systems. Which in more recent times is been improved upon with the paradigm of Internet of Things (IoT). This paper surveys different works on the use of IoT in monitoring aquaculture parameters. Works were reviewed based on power consumption, data security concerns, and cost. The works were also compared based on their sensor node architectures, the type of microcontrollers used and the wireless communication standards adopted. It was found at the end of the study that IoT offers good prospects for water quality monitoring in aquaculture. Some of the existing work had limitations of high power consumption. More recent architectures have solved the problem of power consumption to a significant degree. However opportunities exist for improvement in the areas of data security and cost of deployment.