Smart Home Energy Management Using Machine Learning

Abstract

As the Internet of Things (IoT) continues to expand, traditional Centralized cloud computing is encountering various difficulties, including prolonged delays, restricted capacity, and the possibility of network interruptions. To address these difficulties, fog computing (FC) has been suggested as a remedy. Unlike conventional cloud computing, FC enables local handling and collection of IoT data, bringing the cloud near to the periphery of the system. This leads to enhanced reaction times and a higher level of services, making fog computing a hopeful method for providing IoT services to a wide range of users. This article provides a comprehensive outline of the present state of FC and its combination with IoT. The article highlights the advantages of this integration, including faster response times and improved overall quality of services. The article also presents the framework of FC and discusses the potential applications of IoT that could benefit from this model. In addition, the article addresses many of the issues linked with fog computing and IoT, such as protection concerns and the need for standardized protocols. The article concludes with a conversation of the remaining query’s and areas for future research related to fog computing and IoT. Overall, fog computing and IoT hold great potential for enhancing the quality and efficiency of IoT services. As the field continues to evolve, it will be important for scholars to focus on the issues and questions that remain to fully realize the potential of FC in IoT.