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A Multi-Protocol Home Automation System Using Smart Gateway

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Abstract

Smart Home is one of the most established applications of the Internet of Things. Almost every equipment we use in our daily life—appliances, electric lights, electrical outlets, heating, and cooling systems-connected to a remotely controllable network, giving the user’s ability to remotely control and monitor the house, save energy without compromising on comfort and ultimately improve the quality of experience of staying in the house. We present a cost-effective system and address a major challenge that the industry faces today-Protocol Compatibility. To address the challenge, we make use of separate gateways/bridges for each network and an open-source home automation framework called OpenHAB, where each bridge links with a single master Wi-Fi gateway, providing a single window of control through an Application or a web interface for an integrated Smart Home. We integrate an elderly health monitoring device-Beehealth with OpenHAB; addressing the paramount need of a portable, accurate, and efficient health monitoring and fall detection device. We present two methods for fall detection, namely: threshold-based and Neural Network-based, with the latter resulting in 94% accuracy for fall detection. We evaluate the Smart Home devices on parameters like syncing time, battery life, recharge time, deployability, and cost.

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References

  1. Chen, C. Y., Tsoul, Y. P., Liao, S. C., & Lin, C. T. (2009). Implementing the design of smart home and achieving energy conservation. In 2009 7th IEEE International Conference on Industrial Informatics (pp. 273–276). IEEE.

  2. Williams, E. D., & Matthews, H. S. (2007). Scoping the potential of monitoring and control technologies to reduce energy use in homes. In Proceedings of the 2007 IEEE International Symposium on Electronics and the Environment (pp. 239–244). IEEE.

  3. Jiang, L., Liu, D. Y., & Yang, B. (2004). Smart home research. In Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No. 04EX826) (Vol. 2, pp. 659–663). IEEE.

  4. Jahn, M., Jentsch, M., Prause, C. R., Pramudianto, F., Al-Akkad, A., & Reiners, R. (2010). The energy aware smart home. In 2010 5th International Conference on Future Information Technology (pp. 1–8). IEEE.

  5. Zenhua, X. (2016). Design and implementation of intelligent gateway for smart home. In Chinese Control and Decision Conference (CCDC).

  6. Peng, D., & Peng, C.. (2016). A design and implementation of a simple smart home system for consumers. In Chinese Control and Decision Conference (CCDC).

  7. Jurek, M., & Škuta, J. (2016). Open-source smart home modules. In 17th International Carpathian Control Conference (ICCC).

  8. Mastorakis, G., & Makris, D. (2014). Fall detection system using Kinect’s infrared sensor. Journal of Real-Time Image Processing, 9(4), 635–646.

    Article  Google Scholar 

  9. Nizam, Y., Mahadi Abdul Jamil, M., & Norzali Mohd, M. (2016). A depth image approach to classify daily activities of human life for fall detection based on height and velocity of the subject. In International Conference on Movement, Health and Exercise. Springer.

  10. Nizam, Y., Mohd, M. N. H., & Jamil, M. M. A. (2016). Classification of human fall from activities of daily life using joint measurements. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(4), 145–149.

    Google Scholar 

  11. Skubic, M., Harris, B. H., Stone, E., Ho, K. C., Su, B., & Rantz, M. Testing non-wearable fall detection methods in the homes of older adults. In 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL.

  12. Debard, G., et al. (2016). Camera-based fall detection using real-world versus simulated data: How far are we from the solution? Journal of Ambient Intelligence and Smart Environments, 8(2), 149–168.

    Article  Google Scholar 

  13. Bandyopadhyay, D., & Sen, J. (2011). Internet of things: Applications and challenges in technology and standardization. Wireless Personal Communications, 58(1), 49–69.

    Article  Google Scholar 

  14. Tang, J., Dong, T., Li, L., & Shao, L. (2018). Intelligent monitoring system based on internet of things. Wireless Personal Communications, 102(2), 1521–1537.

    Article  Google Scholar 

  15. Gautam, A., Verma, G., Qamar, S., & Shekhar, S. (2019). Vehicle pollution monitoring, control and challan system using MQ2 sensor based on internet of things. Wireless Personal Communications 1–15.

  16. Shinde, S. V., & Bhardwaj, S. (2014). Power consumption monitoring system for Indian homes. Wireless Personal Communications, 76(3), 409–418.

    Article  Google Scholar 

  17. Balaji, S., Nathani, K., & Santhakumar, R. (2019). IoT technology, applications and challenges: A contemporary survey. Wireless Personal Communications, 108(1), 363–388.

    Article  Google Scholar 

  18. Kyriazakos, S., Mihaylov, M., Anggorojati, B., Mihovska, A., Craciunescu, R., Fratu, O., et al. (2016). eWALL: An intelligent caring home environment offering personalized context-aware applications based on advanced sensing. Wireless Personal Communications, 87(3), 1093–1111.

    Article  Google Scholar 

  19. Kingsy Grace, R., & Manju, S. (2019). A comprehensive review of wireless sensor networks based air pollution monitoring systems. Wireless Personal Communications, 108(4), 2499–2515.

    Article  Google Scholar 

  20. Li, Y., Liu, P., Cai, Q., Guo, J., Zhou, Z., Yan, H., et al. (2018). A health gateway for mobile monitoring in nursing home. Wireless Personal Communications, 102(2), 1573–1587.

    Article  Google Scholar 

  21. Newman, K. E., & Blei, M. (2014). Evaluation of smart phones for remote control of a standard hospital room. Wireless Personal Communications, 75(2), 1005–1013.

    Article  Google Scholar 

  22. Da, H., & Saikia, L. C. (2015). GSM enabled smart energy meter and automation of home appliances. In International Conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE).

  23. Chakraborty, C., Gupta, B., & Ghosh, S. K. (2003). A review on telemedicine-based WBAN framework for patient monitoring. Telemedicine Journal and e-Health, 19, 619–626.

    Article  Google Scholar 

  24. Jovanov, E., Otto, C., & Milenković, A. (2006). A WBAN-based system for health monitoring at home. In 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors, Cambridge, MA (pp. 20–23).

  25. Farella, E., Pieracci, A., & Acquaviva, A. (2005). Design and implementation of WiMoCA node for a body area wireless sensor network. In Proceedings of the 2005 Systems Communications (pp. 342–347).

  26. Morón, M. J., Luque, J. R., Botella, A. A., Cuberos, E. J., Casilari, E., & Diaz-Estrella, A. (2007). A smart phone-based personal area network for remote monitoring of biosignals. In 4th International Workshop on Wearable and Implantable Body Sensor Networks: IFMBE Proceedings, 2007, 3rd Session (Vol. 13, pp. 116–121).

  27. Hoskin, A. F. (1998). Fatal falls: Trends and characteristics. Statistical Bulletin (Metropolitan Life Insurance Company), 79(2), 10–15.

    Google Scholar 

  28. Gryfe, C. I., Amies, A., & Ashley, M. J. (1977). A longitudinal study of falls in an elderly population: I. Incidence and morbidity. Age Ageing, 6, 201–210.

    Article  Google Scholar 

  29. Nevitt, M. C., Cummings, S. R., & Hudes, E. S. (1991). Risk factors for injurious falls: A prospective study. Journal of Gerontology, 46(5), M164-70.

    Article  Google Scholar 

  30. Degen, T., Jaeckel, H., Rufer, M., & Wyss, S. (2003). Speedy: A fall detector in a wristwatch. In 7th International Symposium on Wearable Computers (ISWC), White Plains, NY.

  31. Doughty, K., Lewis, R., & McIntosh, A. (2000). The design of a practical and reliable fall detector for community and institutional telecare. Journal of Telemedicine and Telecare, 6(Supplement 1), 150–154. (5).

    Article  Google Scholar 

  32. Brownsell, S., & Hawley, M. (2004). Fall detectors: Do they work or reduce the fear of falling. Housing, Care and Support, 7(1), 18–24.

    Article  Google Scholar 

  33. Nait-Charif, H., & McKenna, S. J. (2004). Activity summarisation and fall detection in a supportive home environment. In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004 (Vol. 4, pp. 323–326). IEEE.

  34. Alwan, M., Dalal, S., Kell, S., & Felder, R. (2003). Derivation of basic human gait characteristics from floor vibrations. In 2003 Summer Bioengineering Conference. Sonesta Beach Resort in Key Biscayne, Florida.

  35. Sprint, Gina, Cook, Diane, Fritz, Roschelle, & Schmitter-Edgecombe, Maureen. (2016). Detecting health and behavior change by analyzing smart home sensor data. In IEEE International Conference on Smart Computing (SMARTCOMP).

  36. Passenberg, C, Meyer, D, Feldmaier, J, & Shen, H (2016). Optimal water heater control in smart home environments. In 2016 IEEE International Energy Conference (ENERGYCON).

  37. Gupta, P, & Chhabra, J. (2016). IoT based Smart Home design using power and security management, innovation and challenges in cyber security (ICICCS-INBUSH). In 2016 International Conference.

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Correspondence to T. S. Ashwin.

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Chaudhary, S.K., Yousuff, S., Meghana, N.P. et al. A Multi-Protocol Home Automation System Using Smart Gateway. Wireless Pers Commun 116, 2367–2390 (2021). https://doi.org/10.1007/s11277-020-07795-0

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