Decentralized Disaster Area Detection in Mobile Networks
Key: LRL+18-1
Author: Patrick Lieser, Nils Richerzhagen, Michal Lipinski, Clemens Krug, Tobias Meuser, Björn Richerzhagen, Ralf Steinmetz
Date: October 2018
Kind: In proceedings
Publisher: IEEE
Book title: Will appear in Demonstrations of the 43rd IEEE Conference on Local Computer Networks (LCN Demonstrations)
Abstract: In highly developed countries information and communication technology is considered a critical infrastructure alongside other infrastructures like power and water supply or the health care system, whose absence or failure increasingly impairs the life of the affected population. Due to high interdependencies between those critical infrastructures, cascading effects occur when one of them becomes unavailable. Unresolved power blackouts, in particular, can lead to the shutdown of other infrastructures with passing time. In such situations, it is crucial to quickly determine the area affected by a blackout in order to coordinate mitigation efforts. In this work, we present algorithms that enable an autonomous analysis of the area affected by the failure of the aforementioned power supply and information and communication technologies and for spreading that information about the disaster area among the affected population. To achieve this, mobile ad hoc networks can be utilized using the mobile devices of the affected population. In this demonstration, attendees can observe the behavior of mobile nodes entering and exiting the simulated disaster area while sharing their movement history to estimate the area that is affected by the infrastructure blackout. The continuous area estimation of each node can be observed via live visualizations while the area of the blackout can dynamically increase or decrease. Additionally, the quality of the disaster area detection is shown through live plots of relevant metrics.
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