An Evolutionary Software Paradigm for Developing Internet of Things (IoT) Based Systems
Pramod Mathew Jacob, Prasanna Mani, Jeni Moni, Doney Daniel, Bibin Vincent, Renisha P Salim · 2022 International Conference on Data Analytics for Business and Industry (ICDABI) · 2022
Automation and development of smart things is one of the primary concerns around the globe. The bond established between various sensors and internet introduced the concept of Internet of Things (IoT). IoT is in evolutionary phase and hence it lacks a standard reference model for its various design aspects. IoT comprises of hardware, software and communication modules. Though IoT deals with heterogeneous devices and protocols, it is a herculean task for the developer to standardize the software architecture and testing models. This research work focuses on the software aspects of an IoT based system. This work proposes a reference software paradigm for the IoT systems by considering the software architecture design phase and testing phase. We have evaluated our model in a smart farming environment by replicating some standard smart farming systems. The results show that our model can be used as a reference software paradigm for designing an efficient and effective IoT based system