WiFi Multi Access Point Smart Home IoT Architecture

  • Piotr LechEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 466)


The paper presents the concept of the wireless sensor network dedicated to smart home applications. The innovative characteristic of this network is related to its use for information transfer and routing of selected sensors that simultaneously serve as Access Points and network clients. As a result, we obtain an alternative for the popular solutions based on AdHoc idea. Network traffic creates a cascading path for messages with optional selection of routes dependent on the strength of the received signal. Messages are transmitted between the AP using store and forward methods. Optionally, in order to save the consumed energy, customers transmitters can be switched solely during the transmission time. Sample implementations have been made on the basis of low-cost microprocessor controllers and communication modules commonly used in IoT. To verify correct implementation, some tests have been conducted, examining the quality and latency.


Smart home Iot WiFi WSN 


  1. 1.
    Chong, C.-Y., Kumar, S.P.: Sensor networks: evolution, opportunities, and challenges. Proc. IEEE 91(8), 1247–1256 (2003)CrossRefGoogle Scholar
  2. 2.
    Guinard, D., Vlad, T.: Building the web of things. Manning (2015)Google Scholar
  3. 3.
    Dargie, W., Poellabauer, C.: Fundamentals of Wireless Sensor Networks: Theory and Prac-tice. Wiley (2010)Google Scholar
  4. 4.
    Heesuk, S., Byoungoh, K., Taehun, K., Dongman, L., Soon-Joo, H.: Sherlock-SD: a light-weight universal service discovery for web of things (WoT) services. In: Proceedings of 12th Annual IEEE Consumer Communications and Networking Conference (CCNC), pp. 276–282 (2015)Google Scholar
  5. 5.
    de Sousa, Al-Ali, A.R., Aburukba, R.: Role of internet of things in the smart grid technology. J. Comput. Commun. 3(05), 229 (2015). M. Internet of Things with Intel Galileo. Packt Publishing LtdGoogle Scholar
  6. 6.
    Choubey, P.K., Pateria, S., Saxena, A., Vaisakh Punnekkattu Chirayil, S.B., Jha, K.K., Sharana Basaiah, P.M.: Power efficient, bandwidth optimized and fault tolerant sensor management for IOT in smart home. In: Proceedings of IEEE International Advance Computing Conference (IACC), pp. 366–370 (2015)Google Scholar
  7. 7.
    Amadeo, M., Campolo, C., Iera, A., Molinaro, A.: Information centric networking in IoT scenarios: the case of a smart home. In: Proceedings of IEEE International Conference on Communications (ICC), pp. 648–653 (2015)Google Scholar
  8. 8.
    Brennan, C.P., McCullagh, P.J., Galway, L., Lightbody, G.: Promoting autonomy in a smart home environment with a smarter interface. In: Engineering in Medicine and Biology Society (EMBC)—Proceedings of 37th Annual International Conference of the IEEE, pp. 5032–5035 (2015)Google Scholar
  9. 9.
    Abdmeziem, M.R., Tandjaoui, D., Romdhani, I.: Architecting the internet of things: state of the art. In: Robots and Sensor Clouds, pp. 55–75. Springer (2016)Google Scholar
  10. 10.
    Santoso, F.K., Vun, N.C.: Securing IoT for smart home system. In: Proceedings of IEEE International Symposium on Consumer Electronics (ISCE), pp. 1–2 (2015)Google Scholar
  11. 11.
    Maksimovic, M., Vujovic, V., Davidovic, N., Milosevic, V., Perisic, B.: Raspberry Pi as internet of things hardware performances and constraints. In: Proceedings of IcETRAN: First International Conference on Electrical, Electronic and Computing Engineering, pp. 1–6 (2014)Google Scholar
  12. 12.
    Hussain, M.I., Dutta, S.K., Ahmed, N., Hussain, I.: A WiFi-based reliable network architecture for rural regions. ADBU J. Eng. Technol. 3, (2016)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (, which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Authors and Affiliations

  1. 1.Faculty of Electrical Engineering, Department of Signal Processing and Multimedia EngineeringWest Pomeranian University of TechnologySzczecinPoland

Personalised recommendations