Design and simulation of fuzzy water monitoring system using WSN for fishing

Abstract

People and creatures have built up the capacity to utilize different faculties to help them survive. Multisensory data fusion is a quickly advancing exploration zone that requires interdisciplinary learning in control theory, artificial intelligence, probability and statistics, etc. Multisensory data fusion alludes to the synergistic blend of tactile information from various sensors and related data to give more solid and precise data than could be accomplished by utilizing a solitary, free sensor. Multisensory data fusion is a multilevel, multifaceted process dealing with the automatic detection, association, correlation, estimation, and the mix of information from single and different data sources. The aftereffects of a data fusion handle help clients settle on choices in confused situations. Fish farm owners constantly try to cultivate more than one type of fish per basin as part of their quest for optimal utilization of available resources and profit maximization. However, such attempts always fail in the summer due to problems related to climate change and environmental factors. Consequently, this paper attempts to analyze these problems and identify the factors that can be controlled to rectify them, as wells as the means of controlling said factors. This is done in light of the systematic understanding of the nature of environmental variables and dimensions of the problem. In this paper, we will introduce Fuzzy logic control system used to control and monitor the water parameters.