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dc.contributor.authorKakamoukas, Georgios A.-
dc.contributor.authorSarigiannidis, Panagiotis-
dc.contributor.authorEconomides, Anastasios A.-
dc.date.accessioned2023-10-31T12:00:05Z-
dc.date.available2023-10-31T12:00:05Z-
dc.date.issued2022-
dc.identifier10.1016/j.iot.2020.100183en_US
dc.identifier.issn2542-6605en_US
dc.identifier.urihttps://doi.org/10.1016/j.iot.2020.100183en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/1620-
dc.description.abstractBreakthrough advances on communication technology, electronics and sensors have led to integrated commercialized products ready to be deployed in several domains. Agriculture is and has always been a domain that adopts state of the art technologies in time, in order to optimize productivity, cost, convenience, and environmental protection. The deployment of Unmanned Aerial Vehicles (UAVs) in agriculture constitutes a recent example. A timely topic in UAV deployment is the transition from a single UAV system to a multi-UAV system. Collaboration and coordination of multiple UAVs can build a system that far exceeds the capabilities of a single UAV. However, one of the most important design problems multi-UAV systems face is choosing the right routing protocol which is prerequisite for the cooperation and collaboration among UAVs. In this study, an extensive review of Flying Ad-hoc network (FANET) routing protocols is performed, where their different strategies and routing techniques are thoroughly described. A classification of UAV deployment in agriculture is conducted resulting in six (6) different applications: Crop Scouting, Crop Surveying and Mapping, Crop Insurance, Cultivation Planning and Management, Application of Chemicals,and Geofencing. Finally, a theoretical analysis is performed that suggests which routing protocol can serve better each agriculture application, depending on the mobility models and the agricultural-specific application requirements.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.sourceInternet of Thingsen_US
dc.subjectFRASCATI::Natural sciences::Computer and information sciencesen_US
dc.subjectFRASCATI::Engineering and technology::Electrical engineering, Electronic engineering, Information engineeringen_US
dc.subjectFRASCATI::Natural sciences::Earth and related Environmental sciencesen_US
dc.subjectFRASCATI::Agricultural sciencesen_US
dc.subject.othersmart farmingen_US
dc.subject.otherprecision agricultureen_US
dc.subject.otherunmanned aerial vehiclesen_US
dc.subject.otherUAVsen_US
dc.subject.otherflying adhoc networksen_US
dc.subject.otherFANETsen_US
dc.subject.otherrouting protocolsen_US
dc.subject.othermobility modelsen_US
dc.subject.otherDSDVen_US
dc.subject.otherOLSRen_US
dc.subject.otherDSRen_US
dc.subject.otherAODVen_US
dc.subject.otherTORAen_US
dc.subject.otherRGPen_US
dc.subject.otherMUDORen_US
dc.subject.otherARPAMen_US
dc.subject.otherGPSRen_US
dc.subject.otherGPMORen_US
dc.subject.otherMPGRen_US
dc.subject.otherGLSRen_US
dc.subject.otherLARODen_US
dc.subject.otherGRAAen_US
dc.subject.otherLCADen_US
dc.subject.otherCRUVen_US
dc.subject.otherUVARen_US
dc.subject.otherXLinGoen_US
dc.titleFANETs in Agriculture - A routing protocol surveyen_US
dc.typeArticleen_US
dc.contributor.departmentΤμήμα Οικονομικών Επιστημώνel
local.identifier.volume18en_US
local.identifier.firstpage100183en_US
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