Abstract
A Machine-learning-enabled Context-driven Control Mechanism for Software-defined Smart Home Networks
Highlights
The advancement of science and technology has greatly improved the living standard of human beings and boosted the growing needs for an intelligent home control system
The fog node is used as an ARM-embedded intelligent gateway (i.e., Arduino Raspberry Pi with 64-bit 1.4G CPU) to communicate with the control plane and wirelessly reconfigure smart devices in the data plane using over-the-air provisioning (OTAP)
The evaluation criteria focus on validating the performance of the context-ontology-driven control mechanism including adaptability and interoperability in smart home control mechanism (SHCM)
Summary
The advancement of science and technology has greatly improved the living standard of human beings and boosted the growing needs for an intelligent home control system. The existing SDNbased research studies are limited in cross-layer and localized processing capabilities of an integrated multiattributed context, resulting in an unacceptable response delay and a low heterogeneity compatibility in SHSs. Motivated by the above research progress in context-oriented technologies, we developed a novel context cognition prototype, by integrating ML-based context learning, fog-enabled context computing, and ontology-driven context management in an SDN architecture, to improve the context-driven autonomy ability in the smart home control mechanism (SHCM). A novel context-driven cognition prototype adopting ML-enabled multiattributed feature mining schemes under an ontology structure is designed to optimize the human-oriented adaptive interoperability of heterogeneous devices in dynamic SHSs. The proposed SHCM can enhance the human-centered environment adaptability of SHCM, which considers the preferences of different end-users under the ever-changing situation of SHSs. In this paper, the adaptive interoperability of SHCM is instantiated as the energyaware context sampling of sensors and the user-profile-oriented output of actuators in SHSs.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
