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ML-ECN: Multilayer Emergency Communication Network Based on the Combination of Space and Earth

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Smart Computing and Communication (SmartCom 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13202))

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Abstract

In recent years, major geological disasters have occurred, often accompanied by the massive destruction of infrastructure communication facilities. Therefore, quickly building an Emergency Communication Network (ECN) after a disaster is a key problem. At present, there are a variety of emergency communication network solutions, including Unmanned Aerial Vehicle (UAV) networks, satellite networks, wireless sensor networks, ground MESH networks, and so on. However, this kind of research rarely considers the comprehensive application of the abovementioned networks and the collaborative work between them. In this paper, an emergency communication network is proposed, which includes a wireless sensor network, ground MESH network, UAV MESH network, and satellite network. The multilayer network works together to ensure the smooth development of post-disaster rescue work. We also propose a location algorithm based on reverse verification, which relies mainly on wireless sensor networks. For network service quality, we propose an improved scheduling algorithm based on Weighted Deficit Round Robin (WDRR) and. Multiple measures are taken to ensure network Quality of Service (QoS). Numerical results show the superiority of our scheme.

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Acknowledgment

This work was supported in part by the National Key Research and Development Project of China under Grants No. 2017YFB0504103.

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Authors and Affiliations

  1. Wuhan University, Wuhan, 430072, China

    Liang Zhou

  2. Information and Communication Company of State Grid Hubei Electric Power Co., Wuhan, 430077, China

    Liang Zhou, Hao Li, Jianguo Zhou, Changjia Zhou & Tianzhu Shi

Authors
  1. Liang Zhou
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  2. Hao Li
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  3. Jianguo Zhou
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  4. Changjia Zhou
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  5. Tianzhu Shi
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Corresponding author

Correspondence to Hao Li .

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Editors and Affiliations

  1. Texas A&M University-Commerce, Commerce, TX, USA

    Meikang Qiu

  2. Beijing Institute of Technology, Beijing, Beijing, China

    Keke Gai

  3. Tsinghua University, Beijing, China

    Han Qiu

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Zhou, L., Li, H., Zhou, J., Zhou, C., Shi, T. (2022). ML-ECN: Multilayer Emergency Communication Network Based on the Combination of Space and Earth. In: Qiu, M., Gai, K., Qiu, H. (eds) Smart Computing and Communication. SmartCom 2021. Lecture Notes in Computer Science, vol 13202. Springer, Cham. https://doi.org/10.1007/978-3-030-97774-0_7

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  • DOI: https://doi.org/10.1007/978-3-030-97774-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97773-3

  • Online ISBN: 978-3-030-97774-0

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