Internet of Things Analytics for Smart Home Applications

Abstract

With advancement in smart home services on mobile and wearable devices, individual can smartly control his/her home appliances such as fan, refrigerator, TV, air conditioner, etc., in an efficient manner. Internets of Things (IoT) devices are extensively utilized to interchange the data between smart applications, mobiles, and wearables. IoT devices are responsible for monitoring and sensing the data about home appliances with the help of sensor nodes, the obtained data is then communicate to given high-end devices for taking the suitable action. The overall objective of this paper is to study the existing IoT analytics techniques which are used to build smart applications for homes. This paper also discusses the various challenges to design a suitable smart home using IoTs. Thereafter, a comparative analyzes are considered to evaluate the shortcomings of these techniques and various gaps are formulated in the existing techniques. Finally, a methdology has been devised which can overcome the shortcomings of existing models and help enhancing the functioning of human activity recognition in smart homes.