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dc.contributor.authorHo, Tu Dac
dc.contributor.authorGrøtli, Esten Ingar
dc.contributor.authorJohansen, Tor Arne
dc.date.accessioned2023-09-06T12:13:40Z
dc.date.available2023-09-06T12:13:40Z
dc.date.issued2022-08-16
dc.description.abstractA system of several wireless sensor nodes and one unmanned aerial vehicle (UAV) is considered in this research. The nodes are only floating and drifting with the sea stream. The UAV will be operating as a data mule to gather sensing information from wireless sensor nodes. Unlike prior studies, this paper addressed a realistic ocean model for the nodes movements which will be the references to the Kalman Filter (KF) in estimating for the nodes’ positions. Simulation results are evaluated for an optimal flight-able path for the UAV under several constraints by particle swarm optimization (PSO). Specifically, the deviation between the estimated positions and the referenced positions, total energy consumption by the sensors network, data rates between UAV and the nodes, flight time for the UAV, and frequency of visiting the nodes by the UAV will be considered for optimization. The systems performances will be evaluated based on these scenarios: a) an ideal and unrealistic scenario where the UAV follows the nodes continuously; b) a realistic case where the UAV only flies periodically. Discussions and solutions were also addressed for the situations when the deployed nodes are more significantly separated than the cases simulated in the paper.en_US
dc.identifier.citationHo, Grøtli, Johansen: Path planning for UAV harvesting information from dynamical wireless sensor nodes at sea. In: ICCE. 2022 IEEE Ninth International Conference on Communications and Electronics (ICCE), 2022. IEEE conference proceedingsen_US
dc.identifier.cristinIDFRIDAID 2066649
dc.identifier.doi10.1109/ICCE55644.2022.9852087
dc.identifier.isbn978-1-6654-9744-2
dc.identifier.urihttps://hdl.handle.net/10037/30750
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.projectIDNorges forskningsråd: 223254en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titlePath planning for UAV harvesting information from dynamical wireless sensor nodes at seaen_US
dc.type.versionacceptedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)