RFL-IoT: An IoT Reconfiguration Framework Applied Fuzzy Logic for Context Management

Abstract

Internet of Things (IoTs) applications normally demand n-tier distributed architecture with numerous diverse components, e.g., sensors attached over IoTs end devices in the front-end, and the web application servers, database servers in the back-end. To deal with the dynamic changes and unpredicted events in the environments, the reconfiguration and re-programming of IoTs applications on IoTs end devices are of vital importance. This issue is also called over-the-air programming (OTAP) of IoTs applications remotely through wireless IoTs network protocols. In this paper, we propose an IoTs reconfiguration framework, namely RFL-IoT, for the reconfiguration of IoTs applications upon the changes of the context and derived by the fuzzy logic for the smart context management. To validate our proposed framework, experiments have been carried out in the smart Air Conditioner application by updating new firmware to IoTs end devices to change the behaviors of the IoTs application upon the reported temperature. Results show that our proposed framework is suitable for the dynamic reconfiguration of IoTs applications, at a reasonable cost in terms of energy consumption and time for complete reconfiguration process.