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Towards Rule Consistent Updates in Software-Defined Wireless Sensor Networks

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Cloud Computing and Security (ICCCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11068))

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Abstract

The phenomenon of inconsistent network properties such as forwarding loops and packet losses may occur during rule update of software-defined wireless sensor networks. Aiming at this, the idea of scheduling the update order of sensor nodes is adopted to design the rule reverse addition strategy, rule suppression modification strategy and rule obverse deletion strategy. At the same time, parallel execution of sub-updates is supported by dividing the update domain. This method effectively improves the consistency of network update attributes and greatly enhances the update performance. The simulation results based on SDN-WISE show that the proposed strategies could adapt well to the resource-limited wireless sensor networks, and the advantages are especially obvious when the rule dependencies are more complicated.

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Authors and Affiliations

  1. Zhengzhou Information Science and Technology Institute, Zhengzhou, 450001, China

    Meigen Huang & Bin Yu

Authors
  1. Meigen Huang
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  2. Bin Yu
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Corresponding author

Correspondence to Meigen Huang .

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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

    Zhaoqing Pan

  3. Department of Computer Science, Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Huang, M., Yu, B. (2018). Towards Rule Consistent Updates in Software-Defined Wireless Sensor Networks. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11068. Springer, Cham. https://doi.org/10.1007/978-3-030-00021-9_16

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  • DOI: https://doi.org/10.1007/978-3-030-00021-9_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00020-2

  • Online ISBN: 978-3-030-00021-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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