Skip to main content


Log in

Designing Smart Control Systems Based on Internet of Things and Big Data Analytics

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript


The Internet of Things (IoT) lay down a platform for global communication among millions of electronic devices connected to the internet. These devices and electronic appliances included both wireless and wired sensors, home appliances such as Television, refrigerator, etc., radio frequency identifications (RFID), and so. Similarly, heterogeneous networks provide a platform for media independent communications. However, there exist several issues in using heterogeneous technologies for IoT communications. These challenges include the co-existence of wireless technologies such as ZigBee, Bluetooth and WIFI, cross-layer communications, high packet loss due to interferences with electronic devices, etc. Similarly, IoT is a new paradigm for interconnecting electronic devices, thus, it needs major refinement for standardising it for various services. In order to address the aforementioned challenges, we proposed a scheme for enabling a generic IoT framework and platform for various IoT embedded devices. The working of the proposed scheme is twofold, (1) discovering and collecting information from IoT enabled devices using sensors and (2) scheduling the working of these appliances based on the data collected using sensors attached to these devices. Further, the data is transferred to Hadoop ecosystem for processing and analyzing to disseminate the relevant information to the citizen. Moreover, the proposed system is tested in a smart home scenario by installing sensors attached to various home appliances. The energy consumption and packet loss occur due to available electronic appliances, and heterogeneous devices are computed and analyzed for planning an optimal scheduling scheme and load balancing. Similarly, data from various authentic sources is analyzed using Hadoop ecosystem and disseminate it to the citizen in real-time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others


  1. Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017). A survey on Internet of Things: Architecture, enabling technologies, security and privacy, and applications. IEEE Internet of Things Journal, 4(5), 1125–1142.

    Article  Google Scholar 

  2. Baccarelli, E., Naranjo, P. G. V., Scarpiniti, M., Shojafar, M., & Abawajy, J. H. (2017). Fog of everything: Energy-efficient networked computing architectures, research challenges, and a case study. IEEE Access, 5, 9882–9910.

    Article  Google Scholar 

  3. Bari, M. F., Chowdhury, S. R., Ahmed, R., Boutaba, R., & Mathieu, B. (2012). A survey of naming and routing in information-centric networks. IEEE Communications Magazine, 50(12), 44–53.

    Article  Google Scholar 

  4. Bouk, S. H., Ahmed, S. H., Kim, D., & Song, H. (2017). Named-data-networking-based ITS for smart cities. IEEE Communications Magazine, 55(1), 105–111.

    Article  Google Scholar 

  5. Gou, L., Zhang, G., Bian, D., Zhang, W., & Xie, Z. (2016). Data dissemination in wireless sensor networks with instantly decodable network coding. Journal of Communications and Networks, 18(5), 846–856.

    Google Scholar 

  6. Silva, B. N., Khan, M., & Han, K. (2017). Internet of Things: A comprehensive review of enabling technologies, architecture, and challenges. IETE Technical Review, 1–16.

  7. Shojafar, M., Cordeschi, N., & Baccarelli, E. (2016). Energy-efficient adaptive resource management for real-time vehicular cloud services. IEEE Transactions on Cloud Computing, 99, 1.

    Google Scholar 

  8. Xia, F., Wang, W., Bekele, T. M., & Liu, H. (2017). Big scholarly data: A survey. IEEE Transactions on Big Data, 3(1), 18–35.

    Article  Google Scholar 

  9. Jabbar, S., Khan, M., Silva, B. N., & Han, K. (2016). A REST-based industrial web of things’ framework for smart warehousing. The Journal of Supercomputing, 2016, 1–15.

    Google Scholar 

  10. Barker, S., Irwin, D., & Shenoy, P. (2017). Pervasive energy monitoring and control through low-bandwidth power line communication. IEEE Internet of Things Journal, 4(5), 1349–1359.

    Article  Google Scholar 

  11. Daneels, G., Municio, E., Spaey, K., Vandewiele, G., Dejonghe, A., Ongenae, F., Latré, S., & Famaey, J. (2017). Real-time data dissemination and analytics platform for challenging IoT environments. In Global information infrastructure and networking symposium (GIIS).

  12. Khan, M., Silva, B. N., & Han, K. (2017). A web of things-based emerging sensor network architecture for smart control systems. Sensors, 17(2), 332.

    Article  Google Scholar 

  13. Amadeo, M., Campolo, C., Quevedo, J., Corujo, D., Molinaro, A., Iera, A., et al. (2016). Information-centric networking for the internet of things: Challenges and opportunities. IEEE Network, 30(2), 92–100.

    Article  Google Scholar 

  14. Zhang, Y., Duan, L., Sun, C.-A., Cheng, B., & Chen, J. (2017). A cross-layer security solution for publish/subscribe-based IoT services communication infrastructure. In IEEE international conference on web services (ICWS).

  15. Kim, S., Lee, K., & Jeong, J. P. (2017). DNS naming services for service discovery and remote control for Internet-of-Things devices. In International conference on information and communication technology convergence (ICTC).

  16. Gazis, V. (2017). A survey of standards for machine-to-machine and the internet of things. IEEE Communications Surveys & Tutorials, 19(1), 482–511.

    Article  Google Scholar 

  17. Ju, Q., & Zhang, Y. (2017). Clustered data collection for internet of batteryless things. IEEE Internet of Things Journal, 4(6), 2275–2285.

    Article  Google Scholar 

  18. Maiti, P., Sahoo, B., Turuk, A. K., & Satpathy, S. (2017). Sensors data collection architecture in the Internet of Mobile Things as a service (IoMTaaS) platform. In International conference on I-SMAC (IoT in social, mobile, analytics and cloud) (I-SMAC).

  19. Luong, N. C., Hoang, D. T., Wang, P., Niyato, D., Kim, D. I., & Han, Z. (2016). Data collection and wireless communication in Internet of Things (IoT) using economic analysis and pricing models: A survey. IEEE Communications Surveys & Tutorials, 18(4), 2546–2590.

    Article  Google Scholar 

  20. Trihinas, D., Pallis, G., & Dikaiakos, M. D. (2017). ADMin: Adaptive monitoring dissemination for the Internet of Things. In IEEE INFOCOM 2017IEEE conference on computer communications.

  21. Liu, L., Liu, Y., & Wang, L. (2014). Economical and balanced energy usage in the smart home infrastructure: A tutorial and new results. IEEE Transactions on Emerging Topics in Computing, 3(4), 556–570.

    Article  Google Scholar 

  22. Li, M., & Lin, H.-J. (2015). Design and implementation of smart home control systems based on wireless sensor networks and power line communications. IEEE Transactions on Industrial Electronics, 62(7), 4430–4442.

    Article  Google Scholar 

  23. Leu, J.-S., Chen, C.-F., & Hsu, K.-C. (2013). Improving heterogeneous SOA-based IoT message stability by shortest processing time scheduling. IEEE Transactions on Services Computing, 7(4), 575–585.

    Article  Google Scholar 

  24. Palattella, M., Accettura, N., Grieco, L., Boggia, G., Dohler, M., & Engel, T. (2013). On optimal scheduling in duty-cycled industrial IoT applications using IEEE802.15.4e TSCH. IEEE Sensors Journal, 13(10), 3655–3666.

    Article  Google Scholar 

  25. Zand, P., & Shiva, M. (2008). Defining a new frame based on IEEE 802.15.4 for having the synchronized mesh networks with channel hopping capability. In 11th IEEE international conference on communication technology, Hangzhou.

  26. Mehta, A., Kerkez, B., Glaser, S., & Pister, K. (2012). TDMA-based dual-mode communication for mobile wireless sensor networks. Sensors, 12(12), 16194–16210.

    Article  Google Scholar 

  27. Tinka, A., Watteyne, T., & Pister, K. S. J. (2010). A decentralized scheduling algorithm for time synchronized channel hopping. Ad Hoc Networks, 4(49), 201–216.

    Article  Google Scholar 

  28. Li, L., Li, S., & Zhao, S. (2014). QoS-aware scheduling of services-oriented internet of things. IEEE Transactions on Industrial Informatics, 10(2), 1497–1505.

    Article  Google Scholar 

  29. Uppoor, S., & Fiore, M. (2011). Large-scale urban vehicular mobility for networking research. In IEEE vehicular networking conference (VNC).

  30. Naboulsi, D., & Fiore, M. (2013). On the instantaneous topology of a large-scale urban vehicular network: The cologne case. In Proceedings of ACM international symposium on mobile ad hoc networking and computing.

  31. Uppoor, S., Trullols-Cruces, O., Fiore, M., & Barcelo-Ordinas, J. M. (2014). Generation and analysis of a large-scale urban vehicular mobility dataset. IEEE Transactions on Mobile Computing, 13(5), 1061–1075.

    Article  Google Scholar 

Download references


This work was supported by Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. 2017-0-00770). This study was supported by the BK21 Plus project (SW Human Resource Development Program for Supporting Smart Life) funded by the Ministry of Education, School of Computer Science and Engineering, Kyungpook National University, Korea (21A20131600005).

Author information

Authors and Affiliations


Corresponding author

Correspondence to Kijun Han.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Khan, M., Han, K. & Karthik, S. Designing Smart Control Systems Based on Internet of Things and Big Data Analytics. Wireless Pers Commun 99, 1683–1697 (2018).

Download citation

  • Published:

  • Issue Date:

  • DOI: