A Survey of Strategies for Communication Networks to Protect Against Large-Scale Natural Disasters

Gomes, T. et al. (2016) A Survey of Strategies for Communication Networks to Protect Against Large-Scale Natural Disasters. In: 2016 8th International Workshop on Resilient Networks Design and Modeling (RNDM), Halmstad, Sweden, 12-15 Sep 2016, pp. 11-22. (doi: 10.1109/RNDM.2016.7608263)

Abstract

Recent natural disasters have revealed that emergency networks presently cannot disseminate the necessary disaster information, making it difficult to deploy and coordinate relief operations. These disasters have reinforced the knowledge that telecommunication networks constitute a critical infrastructure of our society, and the urgency in establishing protection mechanisms against disaster-based disruptions. Hence, it is important to have emergency networks able to maintain sustainable communication in disaster areas. Moreover, the network architecture should be designed so that network connectivity is maintained among nodes outside of the impacted area, while ensuring that services for costumers not in the affected area suffer minimal impact. As a first step towards achieving disaster resilience, the RECODIS project was formed, and its Working Group 1 members conducted a comprehensive literature survey on "strategies for communication networks to protect against large-scale natural disasters," which is summarized in this article.

• Item Type: Conference Proceedings
• Keywords: Communication networks, degradation, earthquakes, internet, measurement, resilience, routing, disaster-based disruptions, end-to-end resilience, natural disasters, vulnerability.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Pezaros, Professor Dimitrios and Jouet, Mr Simon
• Authors: Gomes, T., Tapolcai, J., Esposito, C., Hutchison, D., Kuipers, F., Rak, J., de Sousa, A., Iossifides, A., Travanca, R., André, J., Jorge, L., Martins, L., Ugalde, P. O., Pašić, A., Pezaros, D., Jouet, S., Secci, S., and Tornatore, M.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science
• Research Group: Networked Systems Research Laboratory
• ISSN: 9781467390231
• Copyright Holders: Copyright © 2016 IEEE
• First Published: First published in Proceedings of the 2016 8th International Workshop on Resilient Networks Design and Modeling (RNDM): 11-22
• Publisher Policy: Reproduced in accordance with the publisher copyright policy