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Energy and Delay aware Physical Collision Avoidance in Unmanned Aerial Vehicles

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Ouahouah, Sihem
dc.contributor.author Prados-Garzon, Jonathan
dc.contributor.author Taleb, Tarik
dc.contributor.author Benzaid, Chafika
dc.date.accessioned 2019-04-02T06:54:32Z
dc.date.available 2019-04-02T06:54:32Z
dc.date.issued 2018
dc.identifier.citation Ouahouah , S , Prados-Garzon , J , Taleb , T & Benzaid , C 2018 , Energy and Delay aware Physical Collision Avoidance in Unmanned Aerial Vehicles . in 2018 IEEE Global Communications Conference, GLOBECOM 2018 . IEEE Global Communications Conferences , IEEE , IEEE Global Communications Conference , Abu Dhabi , United Arab Emirates , 09/12/2018 . https://doi.org/10.1109/GLOCOM.2018.8647223 en
dc.identifier.isbn 978-1-5386-4727-1
dc.identifier.issn 2576-6813
dc.identifier.other PURE UUID: 62a7a723-b298-4e17-9616-d9817744c057
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/62a7a723-b298-4e17-9616-d9817744c057
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/31976530/ELEC_Ouahouah_et_al_Energy_and_Delay_aware_IEEEGlobeCom.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/37319
dc.description.abstract Several solutions have been proposed in the literature to address the Unmanned Aerial Vehicles (UAVs) collision avoidance problem. Most of these solutions consider that the ground controller system (GCS) determines the path of a UAV before starting a particular mission at hand. Furthermore, these solutions expect the occurrence of collisions based only on the GPS localization of UAVs as well as via object-detecting sensors placed on board UAVs. The sensors' sensitivity to environmental disturbances and the UAVs' influence on their accuracy impact negatively the efficiency of these solutions. In this vein, this paper proposes a new energy- and delay-aware physical collision avoidance solution for UAVs. The solution is dubbed EDCUAV. The primary goal of EDC-UAV is to build in-flight safe UAVs trajectories while minimizing the energy consumption and response time. We assume that each UAV is equipped with a global positioning system (GPS) sensor to identify its position. Moreover, we take into account the margin error of the GPS to provide the position of a given UAV. The location of each UAV is gathered by a cluster head, which is the UAV that has either the highest autonomy or the greatest computational capacity. The cluster head runs the EDC-UAV algorithm to control the rest of the UAVs, thus guaranteeing a collision free mission and minimizing the energy consumption to achieve different purposes. The proper operation of our solution is validated through simulations. The obtained results demonstrate the efficiency of EDC-UAV in achieving its design goals. en
dc.format.extent 6
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher IEEE
dc.relation.ispartof IEEE Global Communications Conference en
dc.relation.ispartofseries 2018 IEEE Global Communications Conference, GLOBECOM 2018 en
dc.relation.ispartofseries IEEE Global Communications Conferences en
dc.rights openAccess en
dc.title Energy and Delay aware Physical Collision Avoidance in Unmanned Aerial Vehicles en
dc.type A4 Artikkeli konferenssijulkaisussa fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Communications and Networking
dc.identifier.urn URN:NBN:fi:aalto-201904022450
dc.identifier.doi 10.1109/GLOCOM.2018.8647223
dc.type.version acceptedVersion

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