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Crowdsourcing-based architecture for post-disaster geolocation: A comparative performance evaluation

Abstract : In the aftermath of a natural or industrial disaster, locating individuals is crucial. However, disasters can cause extensive damage to the network infrastructures and a generalized loss of communication among survivors. In this article, we present a network support solution that provides a post-disaster geolocation-collecting service that relies on inter mobile device connections. On top of this dynamically built network, survivors' mobile devices exchange information about geolocation of others they have encountered. Such information is routed towards pre-defined data collection centers using either the DTN Epidemic or Spray and Wait DTN protocol. Experiments were conducted on the ONE simulator and performance evaluation results confirm the effectiveness of our proposal.
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https://hal.sorbonne-universite.fr/hal-01416297
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Submitted on : Wednesday, December 14, 2016 - 12:12:27 PM
Last modification on : Wednesday, June 8, 2022 - 12:50:04 PM
Long-term archiving on: : Wednesday, March 15, 2017 - 1:32:16 PM

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Florent Coriat, Anne Fladenmuller, Luciana Arantes, Olivier Marin. Crowdsourcing-based architecture for post-disaster geolocation: A comparative performance evaluation. The 15th IEEE International Symposium on Network Computing and Applications (NCA 2016), Oct 2016, Cambridge, MA, United States. pp.1 - 9, ⟨10.1109/NCA.2016.7778583⟩. ⟨hal-01416297⟩

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