Intelligent Decision-Making Service Framework Based on QoS Model in the Internet of Things

The Internet of Things (IOT) has recently become popular to emphasize the vision of a global infrastructure of networked physical objects. The service framework based on IOT global infrastructure can provide full context resources and transform everyday objects into smart objects that automatically understand and react to their environment. However, the framework is still lacking because of unclear structural standards in IOT. In this paper, we construct an intelligent decision-making service framework based on the general IOT global structure and explicitly define its components´ function and which IOT layer it belongs to. As to key problem of the frameworkhow to make intelligent decision depended on the context, we propose a QoS model according to improved Analytical Hierarchy Process (AHP). We use hierarchical clustering algorithm, fuzzy comprehensive evaluation, scale-extending method, entropy weight method, etc. to overcome AHP´s inherent defects such as subjectivity. In the end, we perform a simulation to verify our study results, which reflects that the service decision-making controller in our framework can promptly evaluate available services and select the best service for users with the model.