Vis enkel innførsel

dc.contributor.authorHo, Tu Dac
dc.contributor.authorGrøtli, Esten Ingar
dc.contributor.authorJohansen, Tor Arne
dc.date.accessioned2022-05-11T08:27:09Z
dc.date.available2022-05-11T08:27:09Z
dc.date.created2022-02-01T11:41:43Z
dc.date.issued2021
dc.identifier.citationIEEE International Symposium on Consumer Electronics. 2021.en_US
dc.identifier.issn2158-3994
dc.identifier.urihttps://hdl.handle.net/11250/2995200
dc.description.abstractIn this paper, we consider a wireless sensor network of nodes at the sea surface drifting due to wind and sea currents. In our scenario an Unmanned Aerial Vehicle (UAV) will be used to gather data from the sensor nodes. The goal is to find a flyable path which is optimal in terms of sensor node energy consumption, total channel throughput between the UAV and sensor nodes, flight time for the UAV and frequency of the node visits by the UAV. Finally, the path should also be optimal concerning node position estimation uncertainty. A Kalman Filter (KF) is used to estimate the nodes motions and Particle Swarm Optimization (PSO) is the method used to calculate the UAV path taking all of these objectives into account. The proposed node tracking aware path planning solution is compared to two other scenarios: One where the path planning is based on full knowledge of the node positions at all times, and one where path planning is based on the last known positions of the nodes.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.subjectEnergy consumptionen_US
dc.subjectWireless sensor networksen_US
dc.subjectUncertaintyen_US
dc.subjectTrackingen_US
dc.subjectSea measurementsen_US
dc.subjectData collectionen_US
dc.subjectUnmanned aerial vehiclesen_US
dc.titlePSO and Kalman Filter-Based Node Motion Prediction for Data Collection from Ocean Wireless Sensors Network with UAVen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.source.pagenumber7en_US
dc.source.journalIEEE International Symposium on Consumer Electronicsen_US
dc.identifier.doi10.1109/ICCE50685.2021.9427697
dc.identifier.cristin1996196
dc.relation.projectNorges forskningsråd: 223254en_US
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel