Skip to main content

A Collection Node Planning Algorithm of Power Wireless Private Network in Smart Grid

  • Conference paper
  • First Online:
Simulation Tools and Techniques (SIMUtools 2019)

Abstract

The power wireless private network is a wireless broadband access system that is deeply customized for the development of smart grid terminal communication access, and is integrated with the power dedicated 230 MHz spectrum to meet the wide coverage, large capacity, strong real-time performance, high security, flexibility and easy-to-expand of the power intelligent terminal, and provide integrated wireless communication private network solutions for various services such as distribution automation, electrical information collection, and precise load control. This paper proposes a data collection node planning algorithm in wireless power private network, which can realize the data measurement of large-scale intelligent power terminals at a small cost. Simulation results show the reliability of our algorithm.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Jiang, D., Wang, W., Shi, L., Song, H.: A compressive sensing-based approach to end-to-end network traffic reconstruction. IEEE Trans. Netw. Sci. Eng. (2018). https://doi.org/10.1109/tnse.2018.2877597

  2. Yang, Z., Ping, S., Aijaz, A., et al.: A global optimization-based routing protocol for cognitive-radio-enabled smart grid AMI networks. IEEE Syst. J. 12(1), 1015–1023 (2018)

    Article  Google Scholar 

  3. Jiang, D., Huo, L., Song, H.: Rethinking behaviors and activities of base stations in mobile cellular networks based on big data analysis. IEEE Trans. Netw. Sci. Eng. 1(1), 1–12 (2018)

    Article  Google Scholar 

  4. Zhang, W., Liu, W., Wang, X., et al.: Online optimal generation control based on constrained distributed gradient algorithm. IEEE Trans. Power Syst. 30(1), 35–45 (2015)

    Article  Google Scholar 

  5. Jiang, D., Huo, L., Li, Y.: Fine-granularity inference and estimations to network traffic for SDN. PLoS ONE 13(5), 1–23 (2018)

    Google Scholar 

  6. Fadel, E., Gungor, V.C., Nassef, L., et al.: A survey on wireless sensor networks for smart grid. Comput. Commun. 71, 22–33 (2015)

    Article  Google Scholar 

  7. Jiang, D., Huo, L., Lv, Z., et al.: A joint multi-criteria utility-based network selection approach for vehicle-to-infrastructure networking. IEEE Trans. Intell. Transp. Syst. 19, 1–15 (2018)

    Article  Google Scholar 

  8. Jiang, D., Xu, Z., Li, W., et al.: Topology control-based collaborative multicast routing algorithm with minimum energy consumption. Int. J. Commun Syst 30(1), 1–18 (2017)

    Article  Google Scholar 

  9. Han, G.J., et al.: A grid-based joint routing and charging algorithm for industrial wireless rechargeable sensor networks. Comput. Netw. 101(2016), 19–28 (2016)

    Article  Google Scholar 

  10. Jiang, D., Li, W., Lv, H.: An energy-efficient cooperative multicast routing in multi-hop wireless networks for smart medical applications. Neurocomputing 2017(220), 160–169 (2017)

    Article  Google Scholar 

  11. Kuzlu, M., Pipattanasomporn, M., et al.: Communication network requirements for major smart grid applications in HAN, NAN and WAN. Comput. Netw. 67, 74–88 (2014)

    Article  Google Scholar 

  12. Jiang, D., Wang, Y., Han, Y., et al.: Maximum connectivity-based channel allocation algorithm in cognitive wireless networks for medical applications. Neurocomputing 2017(220), 41–51 (2017)

    Article  Google Scholar 

  13. Jiang, D., Xu, Z., Li, W., et al.: An energy-efficient multicast algorithm with maximum network throughput in multi-hop wireless networks. J. Commun. Netw. 18(5), 713–724 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fanbo Meng .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Meng, F. et al. (2019). A Collection Node Planning Algorithm of Power Wireless Private Network in Smart Grid. In: Song, H., Jiang, D. (eds) Simulation Tools and Techniques. SIMUtools 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-030-32216-8_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-32216-8_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32215-1

  • Online ISBN: 978-3-030-32216-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics