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Internet of Things Agents Diagnosis Architecture : Application to Healtcare IoT System

Internet of Things (IoT) is an advanced research area which provides deeper automation, analysis and integration of physical world into computer systems through network infrastructure. It allows interaction and cooperation between a large variety of pervasive objects over wireless and wired connections, in order to achieve specific goals. Since IoT systems present several properties such as distribution, openness, interoperability and dynamicity, their developing presents a great challenge. For that reason, a generic, multi-layer and agents based architecture for IoT systems has been proposed, called IoTAA (Internet of Things Agents Architecture). IoTAA is composed of four layers; each layer maintains and schedules special features, such as connectivity and communication between things, local coordination, global coordination, domain dependent functionalities. On the other hand, Diagnosis of the IoT systems is an important issue which aims to detect abnormalities from the system desired behavior, identify the failure causes and localize failure components. Accordingly, the paper aims to show the efficiency of IoTAA for modeling IoT diagnosis problem. The four layers are developed and furthers processing are proposed. The proposed IoTAA based diagnosis architecture is illustrated by an example of healthcare monitoring.