Context Reasoning and Decision Modelling System for IoT Scenario using Fuzzy Logic

Abstract

The Internet of Things is great technology of having a self aware system based on the sensor, networking devices, embedded software's, and many more. Using these technologies, various things or objects in the environment can be controlled and monitored. The various IOT devices can be communicate with each other. These devices may wire or wireless with applying sufficient constrained. In last few decade the IOT become grow tremendously and there is huge amount of research, development and integration still remain in many areas of society. Many of the researchers have to develop a significant amount of IOT system to become a cost effective, efficient, and safe. Sensors in IoT generate large amount of data continuously and however to add some values in raw data required for understanding. In order to effective services of IoiT must be understand of user's context such as location, position, current situation, expression, social context, task etc. Context-aware system has proven to be successful in understanding sensor data. This research work focused on context-aware in IoT environments to provide contextualised information services. The goal is to present the contextualization that must be used in the IoT context-aware systems to provide information services. In this, context can be defined with the different parameters such as location, timing, activity. Also, this work presents the implementation of the context-aware secure routing approach to a system and also defines the architecture of the secure routing between the nodes.