Overcoming Real-World IoT Deployment Challenges with Enhanced Fuzzy Logic Decision Algorithms

Abstract

The rapid growth of Internet of Things (IoT) technologies led to an increase in the demand of connected devices around the world. Today, these devices are integrated in several applications and solutions. Therefore, providing a smooth and simple approach for their integration is essential to extend their popularity and wide adaptation. However, there is a high level of complexity to be considered especially when it comes to wireless communication and deployment to the field. These devices are deployed part of wireless sensor networks, which increase the complexity of their operation and integration. In this paper, we focus on the integration of IoT devices in wireless networks for smart home applications. We present an overview of the challenges in designing and developing the firmware. As well, we suggest several testing use-cases to verify that the firmware we are deploying is stable and ready to be introduced to the market. Also, we consider some diagnostic metrics to identify the issues that could degrade the functionality of the devices. Finally, we propose an algorithmic approach based on Fuzzy Logic to improve the integration of IoT devices into the wireless sensor networks using intelligent decision-making techniques to mitigate the challenges and deployment limitations.