WSN- and IOT-based smart homes and their extension to smart buildings

Hemant Ghayvat, Subhas Mukhopadhyay, Xiang Gui, Nagender Suryadevara

Research output: Contribution to journalArticlepeer-review

297 Citations (Scopus)
35 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)10350-10379
Number of pages30
Issue number5
Publication statusPublished - May 2015
Externally publishedYes

Bibliographical note

Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.


  • IOTs
  • wellness function
  • behavioral detection
  • attenuation loss
  • interference
  • SNR (signal to noise ratio)


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