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A Study on Reducing Network Traffic of Disaster Information Delivery System Based on DTN

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Advances on Broadband and Wireless Computing, Communication and Applications (BWCCA 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 25))

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Abstract

Recently, DTN attracts attentions of network researchers due to it offers robust communication even in disaster environment. In order to advance the performance for disaster information gathering by DTN, we have proposed the new system introducing CCN for effective contents delivery based on DTN, in our previous study. However, the proposed system has a risk to increase traffic due to the multiple copies of a content will be returned over DTN. In this paper, we propose a new version of disaster information gathering system reducing network traffic by detecting and discarding needless Interest packets over DTN.

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Author information

Authors and Affiliations

  1. Program in Information and Management Systems, Graduate School of Comprehensive Scientific Research, Prefectual University of Hiroshima, Hiroshima, Japan

    Shoko Takabatake

  2. Department of Management and Information Systems, Prefectual University of Hiroshima, Hiroshima, Japan

    Tetsuya Shigeyasu

Authors
  1. Shoko Takabatake
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  2. Tetsuya Shigeyasu
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Corresponding author

Correspondence to Shoko Takabatake .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Tunghai University, Taichung, Taiwan

    Fang-Yie Leu

  3. Rissho University, Tokyo, Japan

    Tomoya Enokido

  4. Asia University, Taichung, Taiwan

    Hsing-Chung Chen

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Takabatake, S., Shigeyasu, T. (2019). A Study on Reducing Network Traffic of Disaster Information Delivery System Based on DTN. In: Barolli, L., Leu, FY., Enokido, T., Chen, HC. (eds) Advances on Broadband and Wireless Computing, Communication and Applications. BWCCA 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-030-02613-4_68

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  • DOI: https://doi.org/10.1007/978-3-030-02613-4_68

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02612-7

  • Online ISBN: 978-3-030-02613-4

  • eBook Packages: EngineeringEngineering (R0)

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