Towards a Unified and Adaptive Smart Home System: Deep Learning and iot Integration
DOI:
https://doi.org/10.62051/wd65nf07Keywords:
Technology, smart, remote control, multiple devices.Abstract
With the wide application of IoT technology in daily life, the smart home industry has achieved rapid development in recent years. However, due to the different communication methods and fragmented functions between different smart home devices, this makes users face higher complexity in management and use. The goal of the smart home management and control platform is to integrate the data monitoring and control functions of multiple devices in a heterogeneous network environment to provide one-stop home services. However, in the face of problems such as coordination between devices, numerous environmental parameters and difficult to accurately identify user needs, how to build a unified management and control system that is imperceptible, accurate and intelligent has become a core problem to be solved in the process of smart home platformization. The system not only can be used for normal residential home user, but also can be used for hotel and other subsystems. The system realizes the remote control of appliances combine locality control the results show that the system hardware is simple, lower cost, reliability and easy to expand.
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References
[1] Atzori L, Iera A, Morabito G.: ‘The internet of things: A survey’, Computer networks, 2010, 54, (15), pp. 2787-2805.
[2] Perera C, Liu C H, Jayawardena S, et al.: ‘A survey on internet of things from industrial market perspective’, IEEE Access, 2014, 2, pp. 1660-1679.
[3] Alam M R, Reaz M B I, Ali M A M. ‘A review of smart homes—past, present, and future’. IEEE transactions on systems, man, and cybernetics, part C (applications and reviews), 2012, 42,(6), pp. 1190-1203.
[4] Wang C, Chen D, Huang G, et al. ‘Research and Implementation of Smart Home Based on Android Platform’. Computer technology and development, 2012, 22, pp. 225-228.
[5] Mao B, Xu K, Jin Y H, et al. ‘DeepHome: A control model of smart home based on deep learning’. Chinese Journal of Computers, 2017, 40, (8), pp. 1-15.
[6] Chen Y, Lin Z, Zhao X, et al. ‘Deep learning-based classification of hyperspectral data’. IEEE Journal of Selected topics in applied earth observations and remote sensing, 2014, 7, (6), pp. 2094-2107.
[7] Verma H, Jain M, Goel K, et al. ‘Smart home system based on Internet of Things’. 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom). IEEE, 2016, pp. 2073-2075.
[8] Sicari S, Rizzardi A, Grieco L A, et al. ‘Security, privacy and trust in Internet of Things: The road ahead’. Computer networks, 2015, 76, pp. 146-164.
[9] Zanella A, Bui N, Castellani A, et al. ‘Internet of things for smart cities’. IEEE Internet of Things journal, 2014, 1, (1), pp. 22-32.
[10] Gubbi J, Buyya R, Marusic S, et al. ‘Internet of Things (IoT): A vision, architectural elements, and future directions’. Future generation computer systems, 2013, 29, (7), pp. 1645-1660.
[11] Li S, Xu L D, Zhao S. ‘The internet of things: a survey’. Information systems frontiers, 2015, 17, pp. 243-259.
[12] Borgia E. ‘The Internet of Things vision: Key features, applications and open issues’. Computer communications, 2014, 54, pp. 1-31.
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