Investigating the impact of network topologies on the iot-based wsn in smart home monitoring system

Authors

DOI:

https://doi.org/10.15587/1729-4061.2022.266990

Keywords:

IoT, Riverbed, smart, Star, Tree, Mesh, ZigBee, throughput, delay, Wi-Fi

Abstract

The object of this research is to present IoT WSN-based smart home monitoring system, which allows users to monitor and manage all of their appliances and home equipment via the Internet using established protocols. IoT is described as the connection of equipment and appliances to the Internet in order to monitor, report, and perform certain tasks. Wireless Sensor Networks (WSN) are considered as a key component in the IoT model's implementation. This research presented the IoT WSN platform using Riverbed Modeler Simulation Program in order to examine the network performance for different Wireless Sensor topologies (Star, Tree and Mesh). This platform consists of a number of scenarios with a number of sensors in each scenario. Each sensor is represented by the ZigBee end device, which sensed and collected data about the smart home and sent the collected data to the controller, which is represented by the ZigBee coordinator. The controller sends the data to the server to be monitored by the users through any gateway (Wi-Fi) after logging in using a specific application with three routing topologies on the controller. The results showed that IoT WSN tree topology is the best topology if the throughput is considered for improvement at the expense of data dropped with acceptable delay. Star topology improves the network performance in terms of data dropped and throughput when the number of sensors was increased. Mesh topology achieved the smallest data dropped with low throughput. Due to their features, these results were effective because they indicated that the selection of suitable routing topology played an important role in improving the degradation of IoT WSN performance due to the interference of Wi-Fi and ZigBee network since they utilized the same frequency band (2.4 GHz).

Author Biographies

Shayma W. Nourildean, University of Technology

Master of Engineering, Lecturer

Department of Communication Engineering

Yousra A. Mohammed, University of Technology

Master of Engineering, Lecturer

Department of Communication Engineering

May T. Abdulhadi, Iraqi Commission for Computers and Informatics

Master of Science, Assistant Teacher

References

  1. Lavanya, P., Muthu Mayil, K. (2019). IoT - Based Wireless Sensors for Agriculture Monitoring. International Journal of Recent Technology and Engineering, 8 (2S4), 177–181. doi: https://doi.org/10.35940/ijrte.b1033.0782s419
  2. Ma, L., Li, Z., Zheng, M. (2019). A Research on IoT Based Smart Home. 2019 11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). doi: https://doi.org/10.1109/icmtma.2019.00033
  3. Karray, F., Triki, M., Wassim Jmal, M., Abid, M., M. Obeid, A. (2018). WiRoTip: an IoT-based Wireless Sensor Network for Water Pipeline Monitoring. International Journal of Electrical and Computer Engineering (IJECE), 8 (5), 3250. doi: https://doi.org/10.11591/ijece.v8i5.pp3250-3258
  4. Jothikumar, C., Ramana, K., Chakravarthy, V. D., Singh, S., Ra, I.-H. (2021). An Efficient Routing Approach to Maximize the Lifetime of IoT-Based Wireless Sensor Networks in 5G and Beyond. Mobile Information Systems, 2021, 1–11. doi: https://doi.org/10.1155/2021/9160516
  5. Agarwal, A., Singh, M., Singh, S., Singh, A., Singh, A. (2022). Wireless Sensor Network Based Internet of Things for Precision Agriculture. SSRN Electronic Journal. doi: https://doi.org/10.2139/ssrn.4031983
  6. Haseeb, K., Ud Din, I., Almogren, A., Islam, N. (2020). An Energy Efficient and Secure IoT-Based WSN Framework: An Application to Smart Agriculture. Sensors, 20 (7), 2081. doi: https://doi.org/10.3390/s20072081
  7. Roopa, G. K., Shetty, R. (2019). IOT & Wireless Sensor Networks in Precision Agriculture. International Journal of Science and Research (IJSR), 8 (1), 401–404.
  8. Mendoza-Cano, O., Aquino-Santos, R., López-de la Cruz, J., Edwards, R. M., Khouakhi, A., Pattison, I. et al. (2021). Experiments of an IoT-based wireless sensor network for flood monitoring in Colima, Mexico. Journal of Hydroinformatics, 23 (3), 385–401. doi: https://doi.org/10.2166/hydro.2021.126
  9. Kumar, S., Tiwari, P., Zymbler, M. (2019). Internet of Things is a revolutionary approach for future technology enhancement: a review. Journal of Big Data, 6 (1). doi: https://doi.org/10.1186/s40537-019-0268-2
  10. Gabhane, J. P., Thakare, S., Craig, M. (2017). Smart Homes System Using Internet-of-Things: Issues, Solutions and Recent Research Directions. International Research Journal of Engineering and Technology (IRJET), 04 (05), 1965–1969.
  11. Davidovic, B., Labus, A. (2016). A smart home system based on sensor technology. Facta Universitatis - Series: Electronics and Energetics, 29 (3), 451–460. doi: https://doi.org/10.2298/fuee1603451d
  12. Sisavath, C., Yu, L. (2021). Design and implementation of security system for smart home based on IOT technology. Procedia Computer Science, 183, 4–13. doi: https://doi.org/10.1016/j.procs.2021.02.023
  13. Salim, A., Ismail, A., Osamy, W., Khedr, A. M. (2021). Compressive sensing based secure data aggregation scheme for IoT based WSN applications. PLOS ONE, 16 (12), e0260634. doi: https://doi.org/10.1371/journal.pone.0260634
  14. El-Sayed, H. H., Bayatti, H. A. (2021). Improving Network Lifetime in WSN for the application of IoT. Applied Mathematics & Information Sciences, 15 (4), 453–458. doi: https://doi.org/10.18576/amis/150407
  15. Sharma, S., Verma, V. K. (2022). An Integrated Exploration on Internet of Things and Wireless Sensor Networks. Wireless Personal Communications, 124 (3), 2735–2770. doi: https://doi.org/10.1007/s11277-022-09487-3
  16. Anandhavalli, A., Bhuvaneswari, A. (2018). IoT Based Wireless Sensor Networks – A Survey. International Journal of Computer Trends and Technology, 65 (1), 21–28. doi: https://doi.org/10.14445/22312803/ijctt-v65p104
  17. Shafiq, M., Ashraf, H., Ullah, A., Masud, M., Azeem, M., Z. Jhanjhi, N., Humayun, M. (2021). Robust Cluster-Based Routing Protocol for IoT-Assisted Smart Devices in WSN. Computers, Materials & Continua, 67 (3), 3505–3521. doi: https://doi.org/10.32604/cmc.2021.015533
  18. Saleh, M. (2020). WSNs and IoT Their Challenges and applications for Healthcare and Agriculture: A Survey. Iraqi Journal for Electrical and Electronic Engineering. The 3rd Scientific Conference of Electrical and Electronic Engineering Researches (SCEEER), 37–43. doi: https://doi.org/10.37917/ijeee.sceeer.3rd.6
  19. Ghayvat, H., Mukhopadhyay, S., Gui, X., Suryadevara, N. (2015). WSN- and IOT-Based Smart Homes and Their Extension to Smart Buildings. Sensors, 15 (5), 10350–10379. doi: https://doi.org/10.3390/s150510350
  20. Coboi, A. E., Nguyen, V., Nguyen, M., Duy, N. T. (2021). An Analysis of ZigBee Technologies for Data Routing in Wireless Sensor Networks. ICSES Transactions on Computer Networks and Communications (ITCNC).
  21. Ali, H., Chew, W. Y., Khan, F., Weller, S. R. (2017). Design and implementation of an IoT assisted real-time ZigBee mesh WSN based AMR system for deployment in smart cities. 2017 IEEE International Conference on Smart Energy Grid Engineering (SEGE). doi: https://doi.org/10.1109/sege.2017.8052810
  22. Vançin, S., Erdem, E. (2015). Design and Simulation of Wireless Sensor Network Topologies Using the ZigBee Standard. International Journal of Computer Networks and Applications (IJCNA), 2 (3), 135–143.
  23. Nourildean, S. W., Hassib, M. D., Mohammed, Y. A. (2022). Internet of things based wireless sensor network: a review. Indonesian Journal of Electrical Engineering and Computer Science, 27 (1), 246. doi: https://doi.org/10.11591/ijeecs.v27.i1.pp246-261
  24. Ameen, S. Y., Nourildean, S. W. (2013). Coordinator and router investigation in IEEE802.15.14 ZigBee wireless sensor network. 2013 International Conference on Electrical Communication, Computer, Power, and Control Engineering (ICECCPCE). doi: https://doi.org/10.1109/iceccpce.2013.6998748
  25. Sharma, R., Vashisht, V., Singh, U. (2020). Modelling and simulation frameworks for wireless sensor networks: a comparative study. IET Wireless Sensor Systems, 10 (5), 181–197. doi: https://doi.org/10.1049/iet-wss.2020.0046
  26. Wail Nourildean, S., Mohammed Salih, A. (2022). Internet of Things based Wireless Sensor Network - WiFi Coexistence in Medical Applications. 2022 8th International Engineering Conference on Sustainable Technology and Development (IEC). doi: https://doi.org/10.1109/iec54822.2022.9807574
  27. Nourildean, S. W., Jasim, S. I., Abdulhadi, M. T., Jaber, M. M. (2022). Point coordination mechanism based mobile ad hoc network investigation against jammers. Eastern-European Journal of Enterprise Technologies, 5 (9 (119)), 45–53. doi: https://doi.org/10.15587/1729-4061.2022.265779
Investigating the impact of network topologies on the iot-based wsn in smart home monitoring system

Downloads

Published

2022-12-30

How to Cite

Nourildean, S. W., Mohammed, Y. A., & Abdulhadi, M. T. (2022). Investigating the impact of network topologies on the iot-based wsn in smart home monitoring system. Eastern-European Journal of Enterprise Technologies, 6(9 (120), 6–14. https://doi.org/10.15587/1729-4061.2022.266990

Issue

Section

Information and controlling system