Skip to main content
SpringerLink
Log in

Distributed Communication Protocol in Wireless Sensor Network Based on Internet of Things Technology

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In order to increase the understanding of the development of wireless sensor networks in the Internet of Things environment, and whether the distributed space–time coding in cooperative communication technology can solve the influence of wireless sensor network nodes, this article discusses the distributed communication methods of wireless sensor networks in the Internet of Things environment were studied. In the method section, this article presents the relevant theoretical knowledge of the Internet of Things technology to the readers, and describes the wireless sensor network and distributed communication methods in detail. Finally, the simulation experiment of the wireless sensor network is successfully completed, analyzes the problems existing in the application of various frameworks, and combines the ideas of the existing automated test frameworks. A better method of integrated automated testing framework is presented. In view of the reusability of test drivers and the automatic generation of test results, the workload for testing is greatly reduced, and the setup and configuration of test environment are reduced. In the integration test phase, only one-time configuration of the framework is required, and only a few modifications are required for subsequent changes. The overall test efficiency has been significantly improved.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Data Availability

This article does not cover data research. No data were used to support this study.

Code Availability

This article does not cover code research.

References

  1. Wang, Q., & Jiang, J. (2017). Comparative examination on architecture and protocol of industrial wireless sensor network standards. IEEE Communications Surveys & Tutorials, 18(3), 2197–2219.

    Article  MathSciNet  Google Scholar 

  2. Zhang, Y., Upton, D., & Jaber, A. (2015). Radiometric wireless sensor network monitoring of partial discharge sources in electrical substations. International Journal of Distributed Sensor Networks, 2015(15), 179.

    Google Scholar 

  3. Sharma, A., Tayal, S., Bansal, R., & Verma, S. (2021). Energy efficiency techniques in heterogeneous networks. Journal of Cybersecurity and Information Management, 2(1), 13–19.

    Google Scholar 

  4. Younan, M., Khattab, S., & Bahgat, R. (2021). From the wireless sensor networks (WSNs) to the web of things (WoT): An overview. Journal of Intelligent Systems and Internet of Things, 4(2), 56–68.

    Article  Google Scholar 

  5. Leu, J.-S., Chiang, T.-H., & Min-Chieh, Yu. (2015). Energy efficient clustering scheme for prolonging the lifetime of wireless sensor network with isolated nodes. IEEE Communications Letters, 19(2), 259–262.

    Article  Google Scholar 

  6. Tian, Z., Zhang, Z., Wang, J., et al. (2021). Distributed ADMM with synergetic communication and computation. IEEE Transactions on Communications, 69(1), 501–517.

    Article  Google Scholar 

  7. Masoud, H. N., et al. (2019). Communication-failure-resilient distributed frequency control in smart grids: Part I: Architecture and distributed algorithms. IEEE Transactions on Power Systems, 35(2), 1317–1326.

    Google Scholar 

  8. Kibirige, G. W., & Sanga, C. (2015). A survey on detection of sinkhole attack in wireless sensor network. Computer Science, 13(5), 1–9.

    Google Scholar 

  9. Jia, D., Zhu, H., Zou, S., et al. (2016). Dynamic cluster head selection method for wireless sensor network. IEEE Sensors Journal, 16(8), 2746–2754.

    Article  Google Scholar 

  10. Olofsson, T., Ahlen, A., & Gidlund, M. (2016). Modeling of the fading statistics of wireless sensor network channels in industrial environments. IEEE Transactions on Signal Processing, 64(12), 1–1.

    Article  MathSciNet  Google Scholar 

  11. Zhao, M., Tian, Z., & Chow, T. W. S. (2019). Fault diagnosis on wireless sensor network using the neighborhood kernel density estimation. Neural Computing and Applications, 31, 4019–4030.

    Article  Google Scholar 

  12. Mantri, D. S., Prasad, N. R., & Prasad, R. (2015). Mobility and heterogeneity aware cluster-based data aggregation for wireless sensor network. Wireless Personal Communications, 86(2), 975–993.

    Article  Google Scholar 

  13. Lin, J. R., Zhu, B. H., & Zeng, P. (2015). Monitoring power transmission lines using a wireless sensor network. Wireless Communications & Mobile Computing, 15(14), 1799–1821.

    Article  Google Scholar 

  14. Wang, B., Xiaodu, Gu., & Ma, Li. (2017). Temperature error correction based on BP neural network in meteorological wireless sensor network. International Journal of Sensor Networks, 23(4), 265.

    Article  Google Scholar 

  15. Su, S., Tian, Z., Li, S., Deng, J., Yin, L., Du, X., & Guizani, M. (2021). IoT root union: A decentralized name resolving system for IoT based on blockchain. Information Processing and Management, 58(3), 102553.

    Article  Google Scholar 

  16. Yildiz, H. U., Bicakci, K., Tavli, B., et al. (2016). Maximizing Wireless Sensor Network lifetime by communication/computation energy optimization of non-repudiation security service. Proceedings of the Csee, 37(P2), 301–323.

    Google Scholar 

  17. Iqbal, Z., Kim, K., & Lee, H.-N. (2016). A cooperative wireless sensor network for indoor industrial monitoring. IEEE Transactions on Industrial Informatics, PP(99), 1–1.

    Google Scholar 

  18. Osouli Tabrizi, H., & Al-Turjman, F. (2020). AI for dynamic packet size optimization of batteryless IoT nodes: A case study for wireless body area sensor networks. Neural Computing and Applications, 32, 16167–16178.

    Article  Google Scholar 

  19. Rajeshkumar, G., & Valluvan, K. R. (2016). An energy aware trust based intrusion detection system with adaptive acknowledgement for wireless sensor network. Wireless Personal Communications, 94(4), 712.

    Google Scholar 

  20. Li, H., & Liu, J. (2016). Double cluster based energy efficient routing protocol for wireless sensor network. International Journal of Wireless Information Networks, 23(1), 75.

    Article  MathSciNet  Google Scholar 

Download references

Funding

The Science and Technology Research Project of the Education Department of Jiangxi Province, China-Research on the Application of Wireless Energy Transmission in Human Gastrointestinal Diagnosis and Treatment Microsystem (GJJ191025); 2021 Science and Technology Research Project of Jiangxi Provincial Department of Education-Research on Real-time Recognition of Sea Cucumber Based on Underwater Machine Vision.

Author information

Authors and Affiliations

  1. School of Electronics and Information, Nanchang Institute of Technology, Nanchang, 330044, Jiangxi, China

    Ting Fang & Yang Yang

  2. International College, Bansomdejchaopraya Rajabhat University, Bangkok, Thailand

    Yang Yang

Authors
  1. Ting Fang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yang Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

All authors contribute equally.

Corresponding author

Correspondence to Yang Yang.

Ethics declarations

Conflict of interest

These no potential competing interests in our paper. And all authors have seen the manuscript and approved to submit to your journal. We confirm that the content of the manuscript has not been published or submitted for publication elsewhere.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fang, T., Yang, Y. Distributed Communication Protocol in Wireless Sensor Network Based on Internet of Things Technology. Wireless Pers Commun 126, 2361–2377 (2022). https://doi.org/10.1007/s11277-021-09203-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-021-09203-7

Keywords

Search

Navigation