Heterogeneous wireless IoT architecture for natural disaster monitorization

Joaquim Porte*, Alan Briones, Josep Maria Maso, Carlota Pares, Agustin Zaballos, Joan Lluis Pijoan

*Corresponding author for this work

Research output: Indexed journal article Articlepeer-review

12 Citations (Scopus)

Abstract

A heterogeneous sensor network offers an extremely effective means of communicating with the international community, first responders, and humanitarian assistance agencies as long as affected populations have access to the Internet during disasters. When communication networks fail in an emergency situation, a challenge emerges when emergency services try to communicate with each other. In such situations, field data can be collected from nearby sensors deploying a wireless sensor network and a delay-tolerant network over the region to monitor. When data has to be sent to the operations center without any telecommunication infrastructure available, HF, satellite, and high-altitude platforms are the unique options, being HF with Near Vertical Incidence Skywave the most cost-effective and easy-to-install solution. Sensed data in disaster situations could serve a wide range of interests and needs (scientific, technical, and operational information for decision-makers). The proposed monitorization architecture addresses the communication with the public during emergencies using movable and deployable resource unit technologies for sensing, exchanging, and distributing information for humanitarian organizations. The challenge is to show how sensed data and information management contribute to a more effective and timely response to improve the quality of life of the affected populations. Our proposal was tested under real emergency conditions in Europe and Antarctica.

Original languageEnglish
Article number184
JournalEurasip Journal on Wireless Communications and Networking
Volume2020
Issue number1
DOIs
Publication statusPublished - 1 Dec 2020

Keywords

  • DTN
  • Drones
  • Emergency network Natural Disaster
  • NVIS
  • WSN

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