Advertisement

Interoperability in Smart Living Network—A Survey

  • M. Durairaj
  • J. Hirudhaya Mary AshaEmail author
Chapter
  • 32 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 637)

Abstract

Embedded systems or embedded devices are the basic hardware needed for Internet of things (IoT). The “Internet” and “Things” are merged together to make them work as a powerful technology called the Internet of Things (IoT). The IoT is the bombardment of the real-world objects into Internet-based things that can exchange massive amount of data with minimal human interventions. However, the security and privacy concepts of infrastructural engineering are highly critical. Smart IoT projects with smart devices are worldwide known. Smart living is a residence filled with technology that processes the information expected to respond to the needs of the occupants. It promotes the locator comfort, convenience, and security through the technology. Smart devices with the IoT services convert the raw data, read from the home sensors and the actuators, and respond with operational commands to control the home network or home appliances technology from anywhere with the help of Internet. Devices such as smartphones, tablets, and personal computers are used to communicate with these technologies. The home technology highly depends on the interoperability among the communication system architecture to achieve security. In this paper, a survey is done on how the interoperability is built with the efficient use of power energy in the existing smart living.

Keywords

Internet of Things (IoT) Energy Interoperability Security 

References

  1. 1.
    Muntjir, M., Rahul, M., Alhumyani, H.A.: An analysis of internet of things (IoT): novel architectures, modern applications, security aspects and future scope with latest case studies. Int. J. Eng. Res. Technol. (IJERT) 6(06) (2017)Google Scholar
  2. 2.
    Ashton, K.: That internet of things thing. RFID J. (1991)Google Scholar
  3. 3.
    Malche, T., Maheshwary, P.: Internet of Things (IoT) for building Smart living System. I-SMAC-2017Google Scholar
  4. 4.
    Balevi, E., Al Rabee, F.T., Gitlin, R.D.: ALOHA-NOMA for massive machine-to-machine IoT communication. arXiv preprint arXiv:1803.09323 (2018)
  5. 5.
    Lin, H., Bergmann, N.W.: Iot Privacy and Security Challenges for Smart living Environments. Information 7, 44 (2016)CrossRefGoogle Scholar
  6. 6.
    Telecom ITU.: Standardization sector recommendation of ITU (1996)Google Scholar
  7. 7.
    Barsocchi, P., Calabrò, A., Ferro, E., Gennaro, C., Marchetti, E., Vairo, C.: Boosting a low-cost smart living environment with usage and access control rules. Sensors 2018, Published: 8 June 2018Google Scholar
  8. 8.
    Yun, M., Yuxin, B.: Research on the architecture and key technology of IOT applied on the smart grid”, Advances in energy engineering. In: (ICAEE) International Conference, June 2010 [4]Google Scholar
  9. 9.
    Wang, H., Saboune, J., El Saddik, A.: Control your smart living with an autonomously mobile smart phone. In: IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp. 1, 6, 15–19 July 2013Google Scholar
  10. 10.
    Byun, J., Hong, I., Lee, B., Park, S.: Intelligent household LED lighting system considering energy efficiency and user satisfaction. IEEE Trans. Consum. Electron. 59(1), 70–76 (2013)CrossRefGoogle Scholar
  11. 11.
    Barsocchi, P., Calobro, A.: Boosting a low-cost smart living environment with usage and access control rules. Sensors 2018Google Scholar
  12. 12.
    Muntjir, M., Rahul, M., Alhumyani, H.A.: Architectures, modern applications, security aspects and future scope with latest case studies. IoT in Latest Trends Int. J. Eng. Res. Technol. (IJERT), JERTV6IS060238, 6(06) (2017)Google Scholar
  13. 13.
    Attaran, M., et.al.: Critical success factors and challenges of implementing RFID in supply chain management. Supply chain Operating Management (2012)Google Scholar
  14. 14.
    Solaimani, S., Keijzer-Broers, W., Bouwman, H.: What we do and don’t know about the smart living: an analysis of the smart living literature. Indoor, and Build Environment (2013) Google Scholar
  15. 15.
    Hargreaves, T., Wilson, C.: Analytical Framework for Research on Smart livings and Their Users. Springer, Berlin (2017)Google Scholar
  16. 16.
    Wenbo, Y., Quanyu, W., Zhenwei, G.: Smart living implementation based on internet and WiFi technology. In: Proceedings of the 34th Chinese Control Conference, 28–30 July 2015, Hangzhou, ChinaGoogle Scholar
  17. 17.
    Li, M., Lin, H.-J.: Design and implementation of smart living control systems based on wireless sensor networks and power line communications. IEEE Trans. Ind. Electron. PP(99), 1, 1 Dec. 2014Google Scholar
  18. 18.
    Haradaya, H., Mizutaniy, K., Fujiwaray, J.: IEEE 802.15.4g Based Wi-SUN communication systems. IEICE Trans Commun. E100–B(7) (2017)CrossRefGoogle Scholar
  19. 19.
    Baños-Gonzalez, V., Afaqui, M.S., Lopez-Aguilera, E., Garcia-Villegas, E.: IEEE 802.11ah: a technology to face the IoT challenge. Sensors 16 (1960)CrossRefGoogle Scholar
  20. 20.
    Bitterman, N., Shach-Pinsly, D.: Smart Living- a Challenge for Architects and Designers Architectural Science Review. Taylor & Francis (2015)Google Scholar
  21. 21.
    Vanus, J., Cerny, M., Koziorek, J.: The Proposal of the Smart living Care Solution with KNX Components. 978-1-4799-8498-5/15/$31.00 ©2015 IEEEGoogle Scholar
  22. 22.
    Fathany, M.Y., Adiono, T.: Wireless protocol design for smart living on mesh wireless sensor network. In: 2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) 9–12 Nov 2015Google Scholar
  23. 23.
    Hsu, Y.-L., Chou, P.-H., Chang, H.-C.: Design and implementation of a smart living system using multi sensor data fusion technology. Sensors 17, 1631 (2017)CrossRefGoogle Scholar
  24. 24.
    Telecommunication Engineering Centre, Department of Telecommunications, Ministry of Communications, Government of India, Technical Report on M2M enablement in Smart livings, TEC-TR-IoT-M2M-007-01, R1.0 release, 31/03/2017Google Scholar
  25. 25.
    K¨uhn, E., Prellwitz, M., Rohrer, M., Sieck, J.:”A distributed middleware for applications of the internet of things. In: The 7th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 12–14 Sept. 2013, Berlin, GermanyGoogle Scholar
  26. 26.
    Son, H., Tegelund, B., Kim, T., Lee, D.: A distributed middleware for a smart living with autonomous appliances, 0730-3157/15 $31.00 ©. In: 2015 IEEE, 39th Annal International Computers, Software & Applications ConferenceGoogle Scholar
  27. 27.
    Mocanu, I., Florea, A.M.: A Multi-Agent System for Human Activity Recognition in Smart Environments. Springer, Berlin (2011)CrossRefGoogle Scholar
  28. 28.
    Gajewski, M., Batalla, J.M., et.al.: A Distributed IDS Architecture Model for Smart Living System. Springer, 30 Aug. 2017Google Scholar
  29. 29.
    Fuller, J.D., Ramsey, B.W.: Rogue Z-Wave controllers: a persistent attack channel. In: 40th IEEE Annual conference on Local Area Networks (2015)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Assistant Professor, Department of Computer ScienceBharathidasan UniversityTiruchirapalliIndia
  2. 2.Research Scholar, Department of Computer ScienceBharathidasan UniversityTiruchirapalliIndia

Personalised recommendations