Abstract
| Original language | English |
|---|---|
| Title of host publication | Geological Disaster Monitoring Based on Sensor Networks |
| Editors | Tariq S. Durrani, Wei Wang, Sheila Forbes |
| Place of Publication | Singapore |
| Publisher | Springer |
| Pages | 57-66 |
| Number of pages | 10 |
| Edition | 1 |
| ISBN (Electronic) | 9789811309922 |
| ISBN (Print) | 9789811309915 |
| DOIs | |
| Publication status | Published - 2019 |
Publication series
| Name | Springer Natural Hazards |
|---|---|
| Publisher | Springer |
Fingerprint
Keywords
- Wireless Sensor Networks
- natural hazards
- disaster management
- big data analytics
- 5G wireless communication
Cite this
}
A survey on the role of wireless sensor networks and IoT in disaster management. / Adeel, Ahsan; Gogate, Mandar; Farooq, Saadullah; Ieracitano, Cosimo; Dashtipour, Kia; Larijani, Hadi; Hussain, Amir.
Geological Disaster Monitoring Based on Sensor Networks . ed. / Tariq S. Durrani; Wei Wang; Sheila Forbes. 1. ed. Singapore : Springer, 2019. p. 57-66 (Springer Natural Hazards ).Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)
TY - CHAP
T1 - A survey on the role of wireless sensor networks and IoT in disaster management
AU - Adeel, Ahsan
AU - Gogate, Mandar
AU - Farooq, Saadullah
AU - Ieracitano, Cosimo
AU - Dashtipour, Kia
AU - Larijani, Hadi
AU - Hussain, Amir
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Wireless Sensor Networks
KW - natural hazards
KW - disaster management
KW - big data analytics
KW - 5G wireless communication
UR - https://link.springer.com/chapter/10.1007/978-981-13-0992-2_5
U2 - 10.1007/978-981-13-0992-2
DO - 10.1007/978-981-13-0992-2
M3 - Chapter (peer-reviewed)
SN - 9789811309915
T3 - Springer Natural Hazards
SP - 57
EP - 66
BT - Geological Disaster Monitoring Based on Sensor Networks
A2 - Durrani, Tariq S.
A2 - Wang, Wei
A2 - Forbes, Sheila
PB - Springer
CY - Singapore
ER -