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Heuristic-Guided Verification for Fast Congestion Detection on Wireless Sensor Networks

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Future Data and Security Engineering (FDSE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10018))

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Abstract

Petri Net (PN) are widely used to model distributed systems due to its powerful capability of simulating stepwise behaviors of the systems in both sequential or concurrent manners. Furthermore, PN models can be formally verified of their properties using model checking. However, when applied in practical situations, this approach suffers from the infamous problem of state space explosion. In this paper, we suggest a heuristic approach which can potentially reduce the resource consumed by the verification process on a PN-modeled system. We illustrate our idea by an application of congestion detection of Wireless Sensor Networks (WSN), once represented as PN models. The experimental results confirm the improvements gained by our approach.

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Acknowledgment

This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 102.01-2015.16.

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Authors and Affiliations

  1. Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam

    Khanh Le, Toan Nguyen, Thang Bui & Tho Quan

  2. Saigon University, Ho Chi Minh City, Vietnam

    Thanh Cao

Authors
  1. Khanh Le
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  2. Toan Nguyen
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  3. Thanh Cao
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  4. Thang Bui
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  5. Tho Quan
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Corresponding author

Correspondence to Khanh Le .

Editor information

Editors and Affiliations

  1. University of Technology, Ho Chi Minh City, Vietnam

    Tran Khanh Dang

  2. Johannes Kepler University , Linz, Austria

    Roland Wagner

  3. Johannes Kepler University , Linz, Austria

    Josef Küng

  4. University of Technology, Ho Chi Minh City, Vietnam

    Nam Thoai

  5. Hosei University , Tokyo, Japan

    Makoto Takizawa

  6. University of Vienna , Wien, Austria

    Erich Neuhold

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Le, K., Nguyen, T., Cao, T., Bui, T., Quan, T. (2016). Heuristic-Guided Verification for Fast Congestion Detection on Wireless Sensor Networks. In: Dang, T., Wagner, R., Küng, J., Thoai, N., Takizawa, M., Neuhold, E. (eds) Future Data and Security Engineering. FDSE 2016. Lecture Notes in Computer Science(), vol 10018. Springer, Cham. https://doi.org/10.1007/978-3-319-48057-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-48057-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48056-5

  • Online ISBN: 978-3-319-48057-2

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