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Quantifying and minimizing the impact of disasters on wireless communications

Authors: MALANDRINO, FRANCESCO; CHIASSERINI, Carla Fabiana;

Quantifying and minimizing the impact of disasters on wireless communications

Abstract

Communication networks are often disrupted during emergency situations, which can make relief operations slower, riskier, and less effective. In this context, our paper has the twofold purpose of (i) quantifying how significant such disruptions are, and (ii) evaluating the best strategies to minimize them. For both tasks, we leverage a set of real-world, crowd-sourced traces, including information on the position and connectivity (cellular and Wi-Fi) of thousands of smartphone users across the United States. Through our analysis, we find that enabling device-to-device communications can be extremely beneficial in dense urban centers, while including Wi-Fi access points in the safety network is the best strategy in suburban areas.

© ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Francesco Malandrino and Carla Fabiana Chiasserini. 2017. Quantifying and Minimizing the Impact of Disasters on Wireless Communications. In Proceedings of I-TENDER '17, Incheon, Republic of Korea, December 12, 2017, 5 pages. https://doi.org/10.1145/3152896.3152902

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Italy
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Subjects by Vocabulary

Microsoft Academic Graph classification: Leverage (finance) Computer science Network performance analysis Computer security computer.software_genre Wireless Emergency management business.industry Wireless network Disaster recovery Telecommunications network Emergency situations business computer

Keywords

wireless networks, Network reliability, Emergency networks, wireless networks, disaster recovery, disaster recovery, Network performance analysis, Emergency networks, Networks

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
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impulse
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