A New Contents Delivery Network Mixing on Static/Dynamic Heterogeneous DTN Environment

  • Shoko TakabatakeEmail author
  • Tetsuya Shigeyasu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 773)


For reducing the damage of disaster, it is needed to correct/deliver disaster information rapidly. However, under the disaster occasion, it is not easy to engage the usual communication due to the lack of perfect operation of communication infrastructure. Hence, in this paper, we propose to construct new contents centric data delivery system over the network consisting of DTN nodes. The performance evaluations confirm that our proposal effectively reducing the cache acquisition delay.


  1. 1.
    Chen, L., Liu, L., Qi, X., Zheng, G.: Cooperation forwarding data gathering strategy of wireless sensor networks. Int. J. Grid Utility Comput. 8(1), 46–52 (2017)Google Scholar
  2. 2.
    Uchida, N., Ishida, T., Shibata, Y.: Delay tolerant networks-based vehicle-to-vehicle wireless networks for road surveillance systems in local areas. Int. J. Space-Based Situated Comput. 6(1), 12–20 (2016)Google Scholar
  3. 3.
    Bylykbashi, K., Spaho, E., Barolli, L., Xhafa, F.: Impact of node density and TTL in vehicular delay tolerant networks: performance comparison of different routing protocols. Int. J. Space-Based Situated Comput. 7(3), 136–144 (2017)Google Scholar
  4. 4.
    Urakami, M., Innami, S., Kamegawa, M., Shigeyasu, T., Matsuno, H.: Wireless distributed network system for relief activities after disasters - a field experiment for channel setting and a system for information exchange among shelters. In: International Conference on Broadband, Wireless Computing, Communication and Applications, Fukuoka, pp. 260–267 (2010)Google Scholar
  5. 5.
    Zhao, W., Ammar, M., Zegura, E.: Controlling the mobility of multiple data transport ferries in a delay-tolerant network. In: Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 2, pp. 1407–1418 (2005)Google Scholar
  6. 6.
    Kawamoto, M., Shigeyasu, T.: Message relay decision algorithm to improve message delivery ratio in DTN-based wireless disaster information systems. In: IEEE 29th International Conference on Advanced Information Networking and Applications, Gwangiu, pp. 822–828 (2015)Google Scholar
  7. 7.
    Farrell, S., Cahill, V., Geraghty, D., Humphreys, I., McDonald, P.: When TCP Breaks: delay- and disruption- tolerant networking. IEEE Internet Comput. 104, 72–78 (2006)Google Scholar
  8. 8.
    Ip, Y., Lau, W., Yue, O.: Performance modeling of epidemic routing with heterogeneous node types. In: IEEE International Conference on Communications, Beijing, pp. 219–224 (2008)Google Scholar
  9. 9.
    Jacobson, V., Smetters, D., Thornton, J., Plass, M., Briggs, N., Braynard, R.: Networking Named Content, pp. 1–12. ACM CoNEXT, Rome, Italy (2009)Google Scholar
  10. 10.
    The ONE : The Opportunistic Network Environment simulator. Accessed 12 Mar 2018

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Program in Information and Management Systems, Graduate School of Comprehensive Scientific ResearchPrefectural University of HiroshimaHiroshimaJapan
  2. 2.Department of Management and Information SystemsPrefectural University of HiroshimaHiroshimaJapan

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