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Research on Routing for Large-Scale Sensing in Wireless Sensor Networks

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Artificial Intelligence and Security (ICAIS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1254))

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Abstract

In a heterogeneous network, network nodes have different initial energies, even limited battery power, which determine that the network must work in an energy-saving manner. This paper aims to discuss models and algorithms to solve the limitations of low energy consumption, robustness, and scalability. Finally, it presents a design routing approach that provides information on a large temporal and spatial scale for wireless sensor networks.

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China

    Mei Wu

  2. Xiamen University Tan Kah Kee College, Zhangzhou, Fujian, China

    Pengfei Guo

  3. School of Internet of Things and Software Technology, Wuxi Vocational College of Science and Technology, Wuxi, China

    Ning Cao

Authors
  1. Mei Wu
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  2. Pengfei Guo
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  3. Ning Cao
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Corresponding author

Correspondence to Mei Wu .

Editor information

Editors and Affiliations

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

    Xingming Sun

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

    Jinwei Wang

  3. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Wu, M., Guo, P., Cao, N. (2020). Research on Routing for Large-Scale Sensing in Wireless Sensor Networks. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Communications in Computer and Information Science, vol 1254. Springer, Singapore. https://doi.org/10.1007/978-981-15-8101-4_38

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  • DOI: https://doi.org/10.1007/978-981-15-8101-4_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8100-7

  • Online ISBN: 978-981-15-8101-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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