REVIEW PAPER ON IOT WITH HOME AUTOMATION
Keywords:
Home automation, Machine to Machine, integration, chronicAbstract
It is IoT which allows objects to be sensed & controlled remotely across existing network infrastructure, creating opportunities for more direct integration of physical world into computer-based systems, & resulting in improved efficiency, accuracy & economic benefit. IoT is expected to offer advanced connectivity of devices, systems, & services that goes beyond machine-to-machine (M2M) communications & covers a variety of protocols, domains, & applications. End-to-end health monitoring IoT platforms are coming up for antenatal & chronic patients, helping one manage health vitals & recurring medication requirements. The IoT could assist in integration of communications, control, & information processing across various transportation systems. In the IoT, things are expected to become active participants where they are able to interact and communicate among themselves by exchanging data and information sensed about the environment. For that they react autonomously to the real world events and provide services with or without direct human intervention. In this paper we use IOT for energy efficient Environmental Conditions sensing and in Home Automation.
References
M1 Security and Automation Controls. http://www.elkproducts.com/m1 controls.html.
Apple app store. http://www.apple.com/osx/apps/app-store.html.
Control4 Home Automation and Control. http://www.control4.com.
T. Abdelzaher, S. Prabh, and R. Kiran, On Real-Time Capacity Limits of ad hoc Wireless Sensor Networks, RTSS, December 2004.
Y. Aguiar, M. Vieira, E. Galy, J. Mercantini, and C. Santoni, Refining a User Behavior Model based on the Observation of Emotional States. COGNITIVE , 2011.
V. Bradshaw. The Building Environment: Active and Passive Control Systems. John Wiley & Sons, Inc., River Street, NJ, USA, 2006.
B. Brumitt, B. Meyers, J. Krumm, A. Kern, and S. A. Shafer. Easyliving: Technologies for Intelligent Environments. HUC, 2000.
G. Burnham, J. Seo G. Bekey, A. Identification of Human Driver Models in Car Following. IEEE Transactions on Automatic Control 19, 6, 1974, pp. 911–915.
J. Deng, R. Han, and S. Mishra, Secure Code Distribution in Dynamically Programmable Wireless Sensor Networks, Proc. of ACM/IEEE IPSN, 2006. pp. 292-300.
R. Dickerson, E. Gorlin, and J. Stankovic, Empath: a Continuous Remote Emotional Health Monitoring System for Depressive Illness. Wireless Health , 2011.
C. Dixon, R. Mahajan, S. Agarwal, A. Brush, B. Lee, S. Saroiu, and P. Bahl, An Operating System for the Home, NSDI, 2012.
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