Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:4 Issue:3 Year: 30 March,2016 Pages:528-535
Nowadays Internet of things has playing an important role through connecting the objects. The Applications of IoT are increasing. New environment has been created for each simulation with IoT technology. More Concepts have been already developed in Industrial Wireless Sensor Network (WSN). A Home Automation System is also one of the applications of IoT. Rapid growth in technologies and improvements in architecture comes out many problems that how to manage and control the security system, etc. The system presents the layout of IoT for smart home control system. Home automation system are those in which the home appliances can monitor and control remotely. Such household devices connect with the internet using network architecture and standard protocols, the whole system can be called as Home automation system in IoT environment. The System ease out the home automation task. The system presents not only the problems and challenges come in IoT and home automation system using IoT but also some solutions that would help to overcome problems and challenges
IoT environment
[1] Bernheim Brush A.J., Lee B., Mahajan R., Agarwal S., Saroiu S. and Dixon.C.(2015), ”Home Automation in the Wild: Challenges and Opportunities”, Proc. of the ACM CHI on Human Factors in Computing Systems, Vol.1, No.1, pp. 1-7. [2] Bratteteig T. and Wagner I. (2013),” Moving healthcare to the home: the work to make homecare work”, In O.W. Bertelsen L., Ciolfi M.A. and Papadopoulos G.A. Vol.5, No.5, pp.100-201. [3] Black R.T., Gordon Brown M., Diaz III J., Gibler K.M. and Grissom TV.(2010) “Behavioral research in real estate: a search for the boundaries”, Vol.6, No.8, pp. 28-40. [4] Czabański R., Jezewski M., Wrobel J., Jezewski J. and Horoba K. (2010), “Predicting the Risk of Low Fetal Birth Weight from Cardiotocographic Signals using ANBLIR System with Deterministic Annealing and e-Insensitive Learning”, IEEE Transactions on Information Technology in Biomedicine, Vol.14, pp. 1062-1074.