Internet of Things Analytics for Smart Home Applications
Chanpreet kaur1, Prabhpreet Kaur2
1Chanpreet Kaur, Pursuing M. Tech (CSE), Guru Nanak Dev University, Amritsar. India.
2Prabhpreet Kaur, Assistant Professor, Department of Computer Engineering and Technology ,Guru Nanak Dev University, Amritsar, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on May 01, 2020. | Manuscript published on May 10, 2020. | PP: 583-588 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5295059720/2020©BEIESP | DOI: 10.35940/ijitee.G5295.059720
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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 methology has been devised which can overcome the shortcomings of existing models and help enhancing the functioning of human activity recognition in smart homes.
Keywords: Internet of things, Home appliances, Smart home, Wearable devices, Data analytics.
Scope of the Article: Internet of Things