Internet of Things for smart homes and buildings: Opportunities and Challenges

Main Article Content

Hemant Ghayvat
S.C Mukhopadhyay
Jie Liu
Arun Babu
Eshrat Elahi
Xiang Gui

Keywords

Wellness, Ambient assisted living, smart home monitoring, intelligent sampling, event and priority, WSN, Wellness Protocol, Internet of things, cloud computing

Abstract

Pervasive sensing facilitated by Wireless Sensor Networks (WSNs) technologies offered the integration of modern technology into a daily routine. The smart sensing approach offers the ability to sense the ambient parameters and use of different objects in the urban environment. Identification and monitoring technologies, WSNs, wireless communication protocols, and dispersed intelligence for objects are primitive elements of smart environmental solution. The WSNs with the application of Internet of Things (IoT) and Cloud Computing are uplifting the smart home solutions and applications. The present research work aims to develop smart home and building solutions based on IoT and cloud computing. The cloud implementation using free cloud space, which is based on collaboration between public and private clouds, is presented. Additionally the research work recorded recent practical challenges and limitations encounter while designing the IoT-based smart environment. The research identifies the IoT idea through the conjunction of WSNs, the internet and distributed computing with data mining and machine learning an approach to apply at smart home to benefit and humankind. 

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References

1. National Intelligence Council, Disruptive Civil Technologies – Six Technologies with Potential Impacts on US Interests Out to 2025 –Conference Report CR 2008-07, April 2008.
2. http://www.dni.gov/index.php, (ACCESSED ON- 21ST Aug 2015 )
3. Aijaz, A. (2015). Cognitive Machine-to-Machine Communications for Internet-of-Things: A Protocol Stack Perspective. Internet of Things Journal, IEEE, 2(2), 103-112.
4. Khan, M. S., Islam, M. S., & Deng, H. (2014). The design of a Reconfigureurable RFID Sensing Tag as a Generic Sensing Platform Toward the Future Internet of Things. Internet of Things Journal, IEEE, 1(4), 300-310.
5. Yang, G., Xie, L., Mantysalo, M., Zhou, X., Pang, Z., Da Xu, L., . . . Zheng, L.-R. (2014). A Health-IoT Platform Based on the Integration of Intelligent Packaging, Unobtrusive Bio-Sensor, and Intelligent Medicine Box. Industrial Informatics, IEEE Transactions on, 10(4), 2180-2191.
6. Vongsingthong, S., & Smanchat, S. (2014). INTERNET OF THINGS: A REVIEW OF APPLICATIONS AND TECHNOLOGIES. Suranaree Journal of Science & Technology, 21(4).
7. Ganz, F., Puschmann, D., Barnaghi, P., & Carrez, F. (2015). A Practical Evaluation of Information Processing and Abstraction Techniques for the Internet of Things.
8. Gluhak, A., Krco, S., Nati, M., Pfisterer, D., Mitton, N., & Razafindralambo, T. (2011). A survey on facilities for experimental internet of things research. Communications Magazine, IEEE, 49(11), 58-67.
9. Chen, S., Xu, H., Liu, D., Hu, B., & Wang, H. (2014). A vision of IoT: Applications, challenges, and opportunities with china perspective. Internet of Things Journal, IEEE, 1(4), 349-359.
10. Tunca, C., Alemdar, H., Ertan, H., Incel, O. D., & Ersoy, C. (2014). Multimodal wireless sensor network-based ambient assisted living in real homes with multiple residents. Sensors, 14(6), 9692-9719.
11. Ghayvat, H., Mukhopadhyay, S., Gui, X., & Suryadevara, N. (2015). WSN-and IOT-Based Smart Homes and Their Extension to Smart Buildings. Sensors, 15(5), 10350-10379.
12. Ghayvat, H., Mukhopadhyay, S. C., & Gui, X. (2015). Sensing Technologies for Intelligent Environments: A Review Intelligent Environmental Sensing (pp. 1-31): Springer
13. Bakar, U., Ghayvat, H., Hasanm, S., & Mukhopadhyay, S. (2016). Activity and Anomaly Detection in Smart Home: A Survey Next Generation Sensors and Systems (pp. 191-220): Springer.
14. Ghayvat, H., Nag, A., Suryadevara, N., Mukhopadhyay, S., Gui, X., & Liu, J. (2014). SHARING RESEARCH EXPERIENCES OF WSN BASED SMART HOME. International Journal on Smart Sensing & Intelligent Systems, 7(4).
15. Kelly, S. D. T., Suryadevara, N. K., & Mukhopadhyay, S. C. (2013). Towards the implementation of IoT for environmental condition monitoring in homes. Sensors Journal, IEEE, 13(10), 3846-3853.
16. Suryadevara, N. K., & Mukhopadhyay, S. C. (2012). Wireless sensor network based home monitoring system for wellness determination of elderly. Sensors Journal, IEEE, 12(6), 1965-1972.
17. Suryadevara, N., Mukhopadhyay, S. C., Wang, R., & Rayudu, R. (2013). Forecasting the behavior of an elderly using wireless sensors data in a smart home. Engineering Applications of Artificial Intelligence, 26(10), 2641-2652.
18. Suryadevara, N. K., Mukhopadhyay, S. C., Kelly, S. D. T., & Gill, S. P. S. (2015). WSN-Based Smart Sensors and Actuator for Power Management in Intelligent Buildings. Mechatronics, IEEE/ASME Transactions on, 20(2), 564-571.