WSN- and IOT-Based Smart Homes and Their Extension to Smart Buildings

Sensors

Hemant Ghayvat²  Subhas Mukhopadhyay¹  Xiang Gui²  Nagender Suryadevara²  Luciano Lavagno² 

[1] SEAT, Massey University, Palmerston North 4442, New Zealand;

关键词: IOTs;    wellness function;    behavioral detection;    attenuation loss;    interference;    SNR (signal to noise ratio);   

DOI  :  10.3390/s150510350

来源: mdpi

【 摘 要 】

Our research approach is to design and develop reliable, efficient, flexible, economical, real-time and realistic wellness sensor networks for smart home systems. The heterogeneous sensor and actuator nodes based on wireless networking technologies are deployed into the home environment. These nodes generate real-time data related to the object usage and movement inside the home, to forecast the wellness of an individual. Here, wellness stands for how efficiently someone stays fit in the home environment and performs his or her daily routine in order to live a long and healthy life. We initiate the research with the development of the smart home approach and implement it in different home conditions (different houses) to monitor the activity of an inhabitant for wellness detection. Additionally, our research extends the smart home system to smart buildings and models the design issues related to the smart building environment; these design issues are linked with system performance and reliability. This research paper also discusses and illustrates the possible mitigation to handle the ISM band interference and attenuation losses without compromising optimum system performance.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.