Architectural framework for Multi sensor Data fusion and validation in IoT Based system

Abstract

The IoT Based system is expected to be a tipping point for many applications such as Aircraft, Medical diagnosis, Autonomous systems, Military and defense services. Over the past few years, IoT based applications are witnessing the results of multiple sensors, which plays a vital role in decision making. The proposed work suggests the layered architectural framework and guidelines for modeling multi sensor-based applications. The application that involves multiple meshed IoT systems generates voluminous data that needs to be handled in the right way to make the correct decision. The conventional multiple data fusion methods are application-specific. The primary objective of our work is to narrate the handling of a larger number of data generated from multiple sensors and addressing the problems in data fusion for sensitive IoT based applications. In addition to that comparative analysis of various sensor fusion and validation, techniques are surveyed.