A survey on the role of wireless sensor networks and IoT in disaster management

Ahsan Adeel, Mandar Gogate, Saadullah Farooq, Cosimo Ieracitano, Kia Dashtipour, Hadi Larijani, Amir Hussain

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Abstract

Extreme events and disasters resulting from climate change or other ecological factors are difficult to predict and manage. Current limitations of state-of-the-art approaches to disaster prediction and management could be addressed by adopting new unorthodox risk assessment and management strategies. The next generation Internet of Things (IoT), Wireless Sensor Networks (WSNs), 5G wireless communication, and big data analytics technologies are the key enablers for future effective disaster management infrastructures. In this chapter, we commissioned a survey on emerging wireless communication technologies with potential for enhancing disaster prediction, monitoring, and management systems. Challenges, opportunities, and future research trends are highlighted to provide some insight on the potential future work for researchers in this field.
Original languageEnglish
Title of host publicationGeological Disaster Monitoring Based on Sensor Networks
EditorsTariq S. Durrani, Wei Wang, Sheila Forbes
Place of PublicationSingapore
PublisherSpringer
Pages57-66
Number of pages10
Edition1
ISBN (Electronic)9789811309922
ISBN (Print)9789811309915
DOIs
Publication statusPublished - 2019

Publication series

NameSpringer Natural Hazards
PublisherSpringer

Keywords

  • Wireless Sensor Networks
  • natural hazards
  • disaster management
  • big data analytics
  • 5G wireless communication

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  • Cite this

    Adeel, A., Gogate, M., Farooq, S., Ieracitano, C., Dashtipour, K., Larijani, H., & Hussain, A. (2019). A survey on the role of wireless sensor networks and IoT in disaster management. In T. S. Durrani, W. Wang, & S. Forbes (Eds.), Geological Disaster Monitoring Based on Sensor Networks (1 ed., pp. 57-66). (Springer Natural Hazards ). Springer. https://doi.org/10.1007/978-981-13-0992-2