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Location-assistant content distribution scheme for emergency rescue

Author

Listed:
  • Guomin Zhang
  • Lihua Song
  • Haitao Wang
  • Chao Hu
  • Na Wang

Abstract

In order to optimize the timeliness and pertinence of message delivery in emergency rescue scenarios and improve the service performance of emergency communications network, we propose a location-assistant content distribution scheme based on delay tolerant network. First of all, considering that the movement patterns of rescue teams tend to follow a predetermined course of action, we design a location-based group mobility model. Due to the intermittent network connectivity and variety of emergency service, a content-classification-based publish/subscribe architecture and a GenericSpray routing algorithm based on the prediction of overlap opportunity in spatio-temporal positions are proposed. Furthermore, we also give a cache management strategy based on the content significance. Since location-assistant content distribution scheme can predict the overlap of activity between rescue teams through the course of action, not only can the number of copy forwarding and message delivery delays be significantly reduced but also the priority delivery of important messages can be ensured by message classification. Simulation experiments show that compared with the traditional delay tolerant network routing algorithm and the classic first-in-first-out caching strategy, location-assistant content distribution scheme improves the performance of message delivery rate, transmission delay, and control overhead significantly.

Suggested Citation

  • Guomin Zhang & Lihua Song & Haitao Wang & Chao Hu & Na Wang, 2018. "Location-assistant content distribution scheme for emergency rescue," International Journal of Distributed Sensor Networks, , vol. 14(9), pages 15501477188, September.
    • Handle: RePEc:sae:intdis:v:14:y:2018:i:9:p:1550147718800464
    DOI: 10.1177/1550147718800464
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    References listed on IDEAS

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    1. Qian Hu & Naim Kapucu, 2016. "Information Communication Technology Utilization for Effective Emergency Management Networks," Public Management Review, Taylor & Francis Journals, vol. 18(3), pages 323-348, March.
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    Cited by:

    1. Jing Zuo & Mengxing Shang & Jianwu Dang, 2022. "Research on the Optimization Model of Railway Emergency Rescue Network Considering Space-Time Accessibility," Sustainability, MDPI, vol. 14(21), pages 1-14, November.

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