Ahsan Adeel
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
Authors
Dr. Mandar Gogate M.Gogate@napier.ac.uk
Senior Research Fellow
Saadullah Farooq
Cosimo Ieracitano
Dr Kia Dashtipour K.Dashtipour@napier.ac.uk
Lecturer
Hadi Larijani
Prof Amir Hussain A.Hussain@napier.ac.uk
Professor
Contributors
Tariq S. Durrani
Editor
Wei Wang
Editor
Sheila M. Forbes
Editor
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.
Citation
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. M. Forbes (Eds.), Geological Disaster Monitoring Based on Sensor Networks (57-66). Singapore: Springer. https://doi.org/10.1007/978-981-13-0992-2_5
Online Publication Date | Aug 10, 2018 |
---|---|
Publication Date | 2019 |
Deposit Date | Apr 27, 2022 |
Publisher | Springer |
Pages | 57-66 |
Book Title | Geological Disaster Monitoring Based on Sensor Networks |
ISBN | 978-981-13-0991-5 |
DOI | https://doi.org/10.1007/978-981-13-0992-2_5 |
Keywords | Disaster management, Internet of things, Wireless sensor networks, 5G wireless communication, Big data analytics |
Public URL | http://researchrepository.napier.ac.uk/Output/2867049 |
You might also like
Arabic sentiment analysis using dependency-based rules and deep neural networks
(2022)
Journal Article
Detecting Alzheimer’s Disease Using Machine Learning Methods
(2022)
Conference Proceeding
A Generative Learning Approach to Sensor Fusion and Change Detection
(2016)
Journal Article
Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances
(2020)
Conference Proceeding