A Multi-Objective Model Approach to an IoT-Based Granary Monitoring System

A granary is designed to manage and control different environmental factors to ensure the desirable quality of the stored bulked grains, hence an effective monitoring system. This paper aims at establishing a model for an effective granary system to achieve multi-objective balance on real-time monitoring, minimum deployable nodes, coverage efficiency, longer node life, reduced cost and reduced power consumption. Multi-variable linear regression analysis was used to develop the mathematical model which formed the basis for formulating the objective function of the generic algorithm requisite. The simulated result of the model was validated by using a weighted sum method. The optimized model by using the available constraints is a template for a developed network of wireless nodes approach to establish a promising and resourceful representation of an operable granary monitoring system design.