HomeUE Research Journalvol. 26 no. 1 (2024)

Hybrid Home Automation of Common Electronic Devises using Fog Computing with Data Analytics: A Philippine Set-Up

Roda N. Sanares

Discipline: others in technology

 

Abstract:

The study developed a hybrid home automation system using fog computing that covers the design plan, specifications, and implementations of the convergence of IoT devices such as the IP-Based Closed-Circuit Television (CCTV), Access Control like Electronics Door Lock, Fire Detection and Alarm Systems (FDAS), and automatic lighting systems combined in one network infrastructure and managed by a central controller located in the fog layer at a hierarchical model. It focused on the design and development of hybrid home automation of common electronic devices with multiple systems and multiple brands in a single network infrastructure with data analytics specifically in Philippine settings. This study is considered as both descriptive and developmental which describes the system evaluation ISO using the Interoperability for IOT systems framework (ISO/IEC 21823-1:2019) based on Interoperability such as Transport, Syntactic, Behavioral, Policy, and Semantic Interoperability.



References:

  1. Alrawais, A., Alhothaily, A., Hu, C., and Cheng, X. (2017). Fog Computing for the Internet of Things: Security and Privacy Issues. IEEE Internet Computing, 21(2). https://doi.org/10.1109/mic.2017.37
  2. Adnan, N., Kamal, N., and Chellappan, K. (2019, December 1). An IoT Based Smart Lighting System Based on Human Activity. IEEE Xplore. https://doi.org/10.1109/MICC48337.2019.9037           601.
  3. Atlam, H., Walters, R. (2015). Smart Home Automation      Security: A Literature Review. The Smart Computing Review. https://doi.org/10.6029/smartcr.2015.04.004
  4. Bonomi, F., Milito, R., Zhu, J., and Addepalli, S. (2012). Fog computing and its role in the internet of things. Proceedings of the First Edition of the MCC Workshop on   Mobile Cloud   Computing – MCC ’12. https://doi.org/10.1145/2342509.2342523
  5. Dastjerdi, A. V., and Buyya, R. (2016). Fog Computing: Helping the Internet of Things Realize Its Potential. Computer, 49(8). https://doi.org/10.1109/mc.2016.245.
  6. Etikan, I., and Bala, K. (2017). Sampling and Sampling      Methods. Biometrics & Biostatistics             International Journal, 5(6). https://doi.org/10.15406/bbij.2017. 05.00149.
  7. Fleck, S., & Straßer, W. (2018). Smart Camera Based         Monitoring System and Its Application to Assisted           Living. Proceedings of the IEEE, 96(10). https://doi.org/10.1109/JPROC.2008.928765.
  8. Gillaco, M. R. (2014). Descriptive and Developmental Method (DM). International Journal of Scientific and Research Publications, 4(11), 1-5. https://doi: 10.11648/j.ijeedu.20221102.13. Iot Wheel Development Lifecycle. (n.d.). Niolabs. Retrieved May 21, 2023, from https://niolabs.com/enterprise/iot-wheel-   project-life-cycle. 
  9. Kousalya, S. (2018). IOT Based Smart Security and Smart Home Automation https://www.ijert.org/research/iot-based-   smart-security-and-smart      home- automation-IJERTV7IS040026.pdf
  10. Lee, K.-M., Teng, W.-G., & Hou, T.-W. (2016). Point-n-        Press: An Intelligent Universal Remote-Control System for Home Appliances. IEEE Transactions on Automation Science and Engineering, 13(3), 1308–1317. https://doi.org/10.1109/ tase.2016.2539381
  11. Lohan, V., & Singh, R. P. (2018). Home Automation Using Internet of Things. Advances in Data and Information Sciences. https://doi.org/10.1007/978-981-13-0277-             0_24
  12. Malav, V. (2019). Research paper on Bluetooth-based Home Automation using Arduino.
    1. https://www.researchgate.net/publication/332835074_Research_Paper_On_Home_
    2. Automation_Using_Arduino
  13. 13. Muruganand, S. (2015). Design Challenges in Wireless Fire Security Sensor Nodes.             International Journal of Embedded   systems and Applications 5(2).             https://doi.org/10.5121/ijesa.2015.5203
  14. 14. Nag, A., Nikhilendra, J. N., & Kalmath, M. (2018, April 1). IOT Based Door Access     Control Using   Face Recognition. IEEE Xplore. https://doi.org/10.1109/I2CT.2018.        8529749
  15. 15. Ni, J., Zhang, K., Lin, X., & Shen, X. S. (2018). Securing          Fog Computing for Internet    of Things Applications: Challenges and Solutions. IEEE Communications Surveys &           Tutorials, 20(1). https://doi.org/10.1109/comst.2017.2762345
  16. 16. Piera, P. J. Y., & Salva, J. K. G. (2019, July 1). A Wireless Sensor Network for Fire    Detection and Alarm System. IEEE        Xplore. https://doi.org/10.1109/ICoICT. 2019.8835265
  17. Republic Act No. 9292. (n.d.). Lawphil.net. Retrieved March 28, 2022, from             https://lawphil.net/statutes/repacts/ra2004/ra_9292_2004.html
  18. Sahani, M., Nanda, C., Sahu, A. K., & Pattnaik, B. (2015, March 1). Web-based online embedded door access control and home security system based on face recognition. IEEE Xplore. https://doi.org/10.1109/ICCPCT.2015.7159473
  19. Wireless IP Camera: NetCam. 2015 24th International Conference on Computer Communication and Networks (ICCCN). https://doi.org/10.1109/icccn.2015.7288421
  20. 20.Vikram, N., Harish, K. S., Nihaal, M. S., Umesh, R., & Kumar, S. A. A. (2017, January 1). A Low-Cost Home Automation System Using Wi-Fi Based Wireless Sensor Network Incorporating Internet of Things (IoT). IEEE Xplore. https://doi.org/10.1109/IACC.2017.0048
  21. Wang, Y., Chen, Q., Hong, T., & Kang, C. (2019). Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges. IEEE Transactions on Smart Grid10(3), 3125–3148. https://doi.org/10.1109/tsg.2018.2818167
  22. Zou Z, Chen Q, Uysal I, Zheng L. (2014). Radio frequency identification enabled wireless sensing for intelligent food logistics. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 372(2017):20130313. doi:https://doi.org/10.1098/rsta.2013.0313.