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An Intelligent Strategy for Tactical Movements of UAVs in Disaster Scenarios

Published: 01 March 2016 Publication History

Abstract

Unmanned Aerial Vehicles UAVs are envisioned as flexible and fast-deploying communication network for disaster scenarios, where the typical communication infrastructure is likely to be malfunctioning. A few works propose UAVs for building communication links autonomously between rescue team’s members in disaster scenarios. The techniques used are usually based on navigation, positioning, and signal strength processing. However, these techniques may not be enough if the objective is to provide communication services to the maximum number of victims and rescuers and not only to a few rescuers. In this situation, dissimilarity metrics, like the Jaccard distance, can provide information about whether the communication service provided to victims is efficient or not e.g., providing a better distribution of the victims assigned to each UAV acting as service provider. We propose an intelligent strategy that allows UAVs to perform tactical movements in a disaster scenario, combining the Jaccard distance and artificial intelligence algorithms like hill climbing and simulated annealing. Our strategy maximizes the number of victims that are serviced by the UAVs while avoiding network disconnections. Also, a mobility model specifically developed for modelling the victims’ movements within the incident site of a disaster scenario is proposed.

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    Published In

    cover image International Journal of Distributed Sensor Networks
    International Journal of Distributed Sensor Networks  Volume 2016, Issue
    March 2016
    431 pages
    ISSN:1550-1329
    EISSN:1550-1477
    Issue’s Table of Contents

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    Hindawi Limited

    London, United Kingdom

    Publication History

    Published: 01 March 2016

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    • (2017)Optimized mobility models for disaster recovery using UAVs2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)10.1109/PIMRC.2017.8292716(1-5)Online publication date: 8-Oct-2017
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