Skip to main content
SpringerLink
Log in
Book cover

International Conference on Smart Computing and Communication

SmartCom 2018: Smart Computing and Communication pp 335–344Cite as

Information-Centric Fog Computing for Disaster Relief

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11344))

Abstract

Natural disasters like earthquakes and typhoons are bringing huge casualties and losses to modern society every year. As the main foundation of the information age, host-centric network infrastructure is easily disrupted during disasters. In this paper, we focus on combining Information-Centric Networking (ICN) and fog computing in solving the problem of emergency networking and fast communication. We come up with the idea from six degrees of separation theory (SDST) in achieving Information-Centric Fog Computing (ICFC) for disaster relief. Our target is to model the relationship of network nodes and design a novel name-based routing strategy using SDST. In the simulation part, we evaluate and compare our work with existing routing methods in ICN. The results show that our strategy can help improve work efficiency in name-based routing under the limitation of post-disaster scenario.

This paper is supported by JSPS KAKENHI Grant Number JP16K00117, and KDDI Foundation.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Wikipedia: 2018 hokkaido eastern iburi earthquake, September 2018. https://en.wikipedia.org/wiki/2018_Hokkaido_Eastern_Iburi_earthquake

  2. Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the internet of things. In: Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, MCC 2012, pp. 13–16. ACM, New York (2012). https://doi.org/10.1145/2342509.2342513

  3. Xu, J., Ota, K., Dong, M.: Fast networking for disaster recovery. IEEE Trans. Emerg. Topics Comput. 1 (2018). https://doi.org/10.1109/TETC.2017.2775798

  4. Hoque, A.K.M.M., Amin, S.O., Alyyan, A., Zhang, B., Zhang, L., Wang, L.: NLSR: named-data link state routing protocol. In: Proceedings of the 3rd ACM SIGCOMM Workshop on Information-Centric Networking, ICN 2013, pp. 15–20. ACM, New York (2013). https://doi.org/10.1145/2491224.2491231

  5. Garcia-Luna-Aceves, J.: Name-based content routing in information centric networks using distance information. In: Proceedings of the 1st ACM Conference on Information-Centric Networking, ACM-ICN 2014, pp. 7–16. ACM, New York (2014). https://doi.org/10.1145/2660129.2660141

  6. Hemmati, E., Garcia-Luna-Aceves, J.J.: Making name-based content routing more efficient than link-state routing. CoRR abs/1804.02752 (2018). http://arxiv.org/abs/1804.02752

  7. Li, H., Ota, K., Dong, M.: ECCN: orchestration of edge-centric computing and content-centric networking in the 5G radio access network. IEEE Wirel. Commun. 25(3), 88–93 (2018). https://doi.org/10.1109/MWC.2018.1700315

    Article  Google Scholar 

  8. Li, H., Ota, K., Dong, M.: Learning IoT in edge: deep learning for the internet of things with edge computing. IEEE Netw. 32(1), 96–101 (2018). https://doi.org/10.1109/MNET.2018.1700202

    Article  Google Scholar 

  9. Wu, J., Dong, M., Ota, K., Li, J., Guan, Z.: FCSS: fog computing based content-aware filtering for security services in information centric social networks. IEEE Trans. Emerg. Topics Comput. 1. https://doi.org/10.1109/TETC.2017.2747158

  10. Li, L., Ota, K., Dong, M.: Deep learning for smart industry: efficient manufacture inspection system with fog computing. IEEE Trans. Indus. Inform. 1 (2018). https://doi.org/10.1109/TII.2018.2842821

  11. Gai, K., Choo, K.R., Qiu, M., Zhu, L.: Privacy-preserving content-oriented wireless communication in internet-of-things. IEEE Internet Things J. 5(4), 3059–3067 (2018). https://doi.org/10.1109/JIOT.2018.2830340

    Article  Google Scholar 

  12. Gai, K., Qiu, M.: Blend arithmetic operations on tensor-based fully homomorphic encryption over real numbers. IEEE Trans. Indus. Inform. 14(8), 3590–3598 (2018). https://doi.org/10.1109/TII.2017.2780885

    Article  Google Scholar 

  13. Gai, K., Qiu, M., Xiong, Z., Liu, M.: Privacy-preserving multi-channel communication in edge-of-things. Future Gen. Comput. Syst. 85, 190–200 (2018). https://doi.org/10.1016/j.future.2018.03.043, http://www.sciencedirect.com/science/article/pii/S0167739X18300037

  14. Erdelj, M., Natalizio, E., Chowdhury, K.R., Akyildiz, I.F.: Help from the sky: leveraging UAVs for disaster management. IEEE Perv. Comput. 16(1), 24–32 (2017). https://doi.org/10.1109/MPRV.2017.11

    Article  Google Scholar 

  15. Han, G., Yang, X., Liu, L., Guizani, M., Zhang, W.: A disaster management-oriented path planning for mobile anchor node-based localization in wireless sensor networks. IEEE Trans. Emerg. Topics Comput. 1 (2018). https://doi.org/10.1109/TETC.2017.2687319

  16. Li, L., Ota, K., Dong, M., Borjigin, W.: Eyes in the dark: distributed scene understanding for disaster management. IEEE Trans. Parallel Distrib. Syst. 28(12), 3458–3471 (2017). https://doi.org/10.1109/TPDS.2017.2740294

    Article  Google Scholar 

  17. Ernst, C., Mladenow, A., Strauss, C.: Collaboration and crowdsourcing in emergency management. Int. J. Perv. Comput. Commun. 13(2), 176–193 (2017)

    Google Scholar 

  18. Chung, K., Park, R.C.: P2P cloud network services for IoT based disaster situations information. Peer-to-Peer Netw. Appl. 9(3), 566–577 (2016). https://doi.org/10.1007/s12083-015-0386-3

    Article  Google Scholar 

  19. Muldoon, S.F., Bridgeford, E.W., Bassett, D.S.: Small-world propensity and weighted brain networks. Sci. Rep. 6, 22057 (2016). https://doi.org/10.1038/srep22057

    Article  Google Scholar 

  20. Watts, D.J., Strogatz, S.H.: Collective dynamics of “small-world” networks. Nature 393, 440 (1998). https://doi.org/10.1038/30918

    Article  MATH  Google Scholar 

  21. Vespignani, A.: Twenty years of network science. Nature 558, 528–529 (2018). https://doi.org/10.1038/d41586-018-05444-y, https://www.nature.com/articles/d41586-018-05444-y

  22. Hemmati, E., Garcia-Luna-Aceves, J.J.: A comparison of name-based content routing protocols. In: 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, pp. 537–542, October 2015. https://doi.org/10.1109/MASS.2015.52

Download references

Author information

Authors and Affiliations

  1. Department of Information and Electronic Engineering, Muroran Institute of Technology, Muroran, 0508585, Japan

    Jianwen Xu, Kaoru Ota & Mianxiong Dong

Authors
  1. Jianwen Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kaoru Ota
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mianxiong Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mianxiong Dong .

Editor information

Editors and Affiliations

  1. Columbia University, New York, NY, USA

    Meikang Qiu

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xu, J., Ota, K., Dong, M. (2018). Information-Centric Fog Computing for Disaster Relief. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2018. Lecture Notes in Computer Science(), vol 11344. Springer, Cham. https://doi.org/10.1007/978-3-030-05755-8_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05755-8_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05754-1

  • Online ISBN: 978-3-030-05755-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation