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dc.contributor.authorKonstantinos, Skiadopoulos
dc.contributor.authorGiannakis, Konstantinos
dc.contributor.authorTsipis, Athanasios
dc.contributor.authorOikonomou, Konstantinos
dc.contributor.authorStavrakakis, Ioannis
dc.date.accessioned2021-02-16T13:50:36Z
dc.date.available2021-02-16T13:50:36Z
dc.date.created2020-12-18T11:28:21Z
dc.date.issued2020-09
dc.PublishedAd hoc networks. 2020, 106 .
dc.identifier.issn1570-8705
dc.identifier.urihttps://hdl.handle.net/11250/2728449
dc.description.abstractThe recent technological evolution of drones along with the constantly growing maturity of its commercialization, has led to the emergence of novel drone-based applications within the field of wireless sensor networks for information collection purposes. In such settings, especially when deployed in outdoor environments with limited external control, energy consumption and robustness are challenging problems for the system’s operation. In the present paper, a drone-assisted wireless sensor network is studied, the aim being to coordinate the routing of information (among the ground nodes and its propagation to the drone), investigating several drone trajectories or route shapes and examining their impact on information collection (the aim being to minimize transmissions and consequently, energy consumption). The main contribution lies on the proposed algorithms that coordinate the communication between (terrestrial) sensor nodes and the drone that may follow different route shapes. It is shown through simulations using soft random geometric graphs that the number of transmitted messages for each drone route shape depends on the rotational symmetry around the center of each shape. An interesting result is that the higher the order of symmetry, the lower the number of transmitted messages for data collection. Contrary, for those cases that the order of symmetry is the same, even for different route shapes, similar number of messages is transmitted. In addition to the simulation results, an experimental demonstration, using spatial data from grit bin locations, further validates the proposed solution under real-world conditions, demonstrating the applicability of the proposed approach.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S1570870519310935
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleImpact of drone route geometry on information collection in wireless sensor networksen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright The Authorsen_US
dc.source.articlenumber102220en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1016/j.adhoc.2020.102220
dc.identifier.cristin1861503
dc.source.journalAd hoc networksen_US
dc.source.40106
dc.source.pagenumber1-14en_US
dc.source.volume106en_US


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