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Dronemap Planner: A Service-Oriented Cloud-Based Management System for the Internet-of-Drones

2018Journal article Restricted access
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dc.contributor.authorKoubaa, Anis
dc.contributor.authorQureshi, Basit
dc.contributor.authorSriti, Mohamed-Foued
dc.contributor.authorAllouch, Azza
dc.contributor.authorJaved, Yasir
dc.contributor.authorAlajlan, Maram
dc.contributor.authorCheikhrouhou, Omar
dc.contributor.authorKhalgui, Mohamed
dc.contributor.authorTovar, Eduardo
dc.date.accessioned2019-01-04T14:52:14Z
dc.date.embargo2119
dc.date.issued2018
dc.description.abstractLow-cost Unmanned Aerial Vehicles (UAVs), also known as drones, are increasingly gaining interest for enabling novel commercial and civil Internet-of-Things (IoT) applications. However, there are still open challenges that restrain their real-world deployment. First, drones typically have limited wireless communication ranges with the ground stations preventing their control over large distances. Second, these low-cost aerial platforms have limited computation and energy resources preventing them from running heavy applications onboard. In this paper, we address this gap and we present Dronemap Planner (DP), a service-oriented cloud-based drone management system that controls, monitors and communicates with drones over the Internet. DP allows seamless communication with the drones over the Internet, which enables their control anywhere and anytime without restriction on distance. In addition, DP provides access to cloud computing resources for drones to offload heavy computations. It virtualizes the access to drones through Web services (SOAP and REST), schedules their missions, and promotes collaboration between drones. DP supports two communication protocols: (i.) the MAVLink protocol, which is a lightweight message marshaling protocol supported by commodities Ardupilot-based drones. (ii.) the ROSLink protocol, which is a communication protocol that we developed to integrate Robot Operating System (ROS)-enabled robots into the IoT. We present several applications and proof-of-concepts that were developed using DP. We demonstrate the effectiveness of DP through a performance evaluation study using a real drone for a real-time tracking application.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.adhoc.2018.09.013pt_PT
dc.identifier.issn1570-8705
dc.identifier.urihttp://hdl.handle.net/10400.22/12538
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1570870518306814?via%3Dihubpt_PT
dc.subjectUnmanned aerial vehiclept_PT
dc.subjectIoDpt_PT
dc.subjectMAVLinkpt_PT
dc.subjectROSpt_PT
dc.subjectCloudpt_PT
dc.titleDronemap Planner: A Service-Oriented Cloud-Based Management System for the Internet-of-Dronespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage62pt_PT
oaire.citation.issue2019pt_PT
oaire.citation.startPage46pt_PT
oaire.citation.titleAd Hoc Networkspt_PT
oaire.citation.volume86pt_PT
person.familyNameKoubaa
person.familyNameTovar
person.givenNameAnis
person.givenNameEduardo
person.identifier989131
person.identifier.ciencia-idCA19-2399-D94A
person.identifier.ciencia-id6017-8881-11E8
person.identifier.orcid0000-0003-3787-7423
person.identifier.orcid0000-0001-8979-3876
person.identifier.scopus-author-id15923354900
person.identifier.scopus-author-id7006312557
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0337d7df-5f77-46a4-8269-83d14bd5ea6b
relation.isAuthorOfPublication80b63d8a-2e6d-484e-af3c-55849d0cb65e
relation.isAuthorOfPublication.latestForDiscovery80b63d8a-2e6d-484e-af3c-55849d0cb65e

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