Smart Disaster Response Through Localized Short-Term Cooperation

  • Youna JungEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 179)


As the information and communication technology (ICT) has advanced, research on smart cities that take advantage of ICT has been extensively conducted to improve resource management and enhance citizen’s quality of life. Disaster management is a critical component in smart cities to secure citizen’s safety. From experiences with recent disasters such as tsunamis, earthquakes, and hurricanes, we can easily find evidence that shows an urgent need for intelligent disaster management systems. In a disaster situation, a disaster response system must address not only long-term needs that require continuous disaster recovery, but also short-term needs that require ephemeral cooperation between people and smart devices nearby. However, existing disaster-responsive applications have been based on pre-established long-term relationships and focused on communication among human users. To address the limitation of disaster management, in this paper, the smart disaster response system (DRS) is proposed. The Smart DRS allows connectivity among users and sensing devices with short-term relationships based on geographical location within. The approach allows effective sharing of disaster information and immediate cooperation within communities in a manner that reconciles with requirements of security and privacy.


Smart city Disaster response system Temporary social network Overlay network Localized cooperation 


  1. 1.
  2. 2.
    Outbreaks Near Me App.
  3. 3.
  4. 4.
  5. 5.
  6. 6.
  7. 7.
  8. 8.
    Jung, Y., Figueiredo, R., Fortes, J.: Location-based timely cooperation over social private network. In: 10th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 25 October, pp. 388–396 (2014)Google Scholar
  9. 9.
    Juste, P.S., Wolinsky, D., Boykin, P.O., Covington, M.J., Figueiredo, R.J.: SocialVPN: enabling wide-area collaboration with integrated social and overlay networks. Comput. Netw. 54(12), 1926–1938 (2012)CrossRefzbMATHGoogle Scholar
  10. 10.
    Jung, Y., Joshi, J.B.: CPBAC: property-based access control model for secure cooperation in online social networks. Computer and Security 41, 19–39 (2014)CrossRefGoogle Scholar
  11. 11.
    GeoNames Ontology, v3.1.rdf
  12. 12.
    Zheng, Y., Zhou, X.: Location-based social networks. In: Zheng, Y., Zhou, X. (eds.) Computing with Spatial Trajectories. Springer, New York (2011). ISBN 978-1-4614-1629-6Google Scholar
  13. 13.
  14. 14.
  15. 15.
  16. 16.
    TNS, “Two thirds of world’s mobile users signal they want to be found”, April 2012.ˊs-mobile-users-signal-they-want-be-found

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017

Authors and Affiliations

  1. 1.Department of Computer and Information SciencesVirginia Military InstituteLexingtonUSA

Personalised recommendations