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Research on High Reliability Planning Method in Electric Wireless Network

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Big Data and Security (ICBDS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1210))

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Abstract

Aimed at the problems existing in the planning of power wireless communication, in order to better serve smart grid and carry out the application of time-sharing long-term evolution technology in power communication, a highly reliable planning method for wireless private network is proposed. It improves the survival of the user’s service by using overlapping coverage of base station signals, and the overlapping cells are merged to avoid the same frequency interference. By optimizing the deployment of the organization of the base station, in the case of the same number of base stations, the average inter station distance of overlapping coverage is increased, and the network reliability is improved on the premise of ensuring network performance. The planning scheme solves the problem of mutual interference caused by the same frequency overlapping coverage between base stations.

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Author information

Authors and Affiliations

  1. School of Management and Engineering, Nanjing University, Nanjing, 210093, China

    Zewei Tang

  2. Nanjing Institute of Technology, Nanjing, 211167, China

    Chengzhi Jiang

Authors
  1. Zewei Tang
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  2. Chengzhi Jiang
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Corresponding author

Correspondence to Zewei Tang .

Editor information

Editors and Affiliations

  1. Nanjing Institute of Technology, Nanjing, China

    Yuan Tian

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Tinghuai Ma

  3. King Saud University, Riyadh, Saudi Arabia

    Muhammad Khurram Khan

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© 2020 Springer Nature Singapore Pte Ltd.

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Tang, Z., Jiang, C. (2020). Research on High Reliability Planning Method in Electric Wireless Network. In: Tian, Y., Ma, T., Khan, M. (eds) Big Data and Security. ICBDS 2019. Communications in Computer and Information Science, vol 1210. Springer, Singapore. https://doi.org/10.1007/978-981-15-7530-3_24

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  • DOI: https://doi.org/10.1007/978-981-15-7530-3_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-7529-7

  • Online ISBN: 978-981-15-7530-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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