An Efficient Algorithm for Increasing Modularity in IoT Based Automation Systems

Abstract

IoT-based platforms allow for an integrated approach to digital systems. With the increase in complexity of devices and processes in industry and commerce, automation presents itself as a technological panacea in the form of IoT (Internet of Devices) based applications. This paper presents an adaptive, efficient, and affordable system architecture through which modularity in IoT-based automation can be realized. The proposed technique involves an IoT-based platform to coordinate, control also calibrate microcontrollers connected to various sensors and devices. Using a web page or application as an interface, the system can be configured to operate diversified workloads via distributive control and remote monitoring. The flexible nature of the system allows for a modular approach to parameter design and system integration while allowing dynamic task allocation. Data available through feedback can be used to further streamline and orient tasks in real-time. This allows a single platform to multitask using an adaptive algorithm.