Optimal placement of drones for fast sensor energy replenishment using wireless power transfer

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dc.contributor.authorCaillouet, Christelle
dc.contributor.authorRazafindralambo, Tahiry
dc.contributor.authorZorbas, Dimitrios
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.contributor.funderHorizon 2020en
dc.contributor.funderAgence Nationale de la Rechercheen
dc.date.accessioned2019-07-19T11:52:54Z
dc.date.available2019-07-19T11:52:54Z
dc.date.issued2019-04
dc.date.updated2019-07-19T11:43:45Z
dc.description.abstractLifetime is the main issue of wireless sensors networks. Since the nodes are often placed in inaccessible places, the replacement of their battery is not an easy task. Moreover, the node maintenance is a costly and time consuming operation when the nodes are high in numbers. Energy harvesting technologies have recently been developed to replenish part or all of the required energy that allows a node to function. In this paper, we use dedicated chargers carried by drones that can fly over the network and transmit energy to the nodes using radio-frequency (RF) signals. We formulate and optimally solve the Optimal Drone Placement and Planning Problem (OD3P) by using a given number of flying drones, in order to efficiently recharge wireless sensor nodes. Unlike other works in the literature, we assume that the drones can trade altitude with coverage and recharge power, while each drone can move across different positions in the network to extend coverage. We present a linear program as well as a fast heuristic algorithm to meet the minimum energy demands of the nodes in the shortest possible amount of time. Our simulation results show the effectiveness of our approaches for network scenarios with up to 50 sensors and a 50 × 50m terrain size.en
dc.description.sponsorshipAgence Nationale de la Recherche (ANR Program: Investments for the Future - Reference No. ANR-11-LABX-0031-01)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationCaillouet, C., Razafindralambo, T. and Zorbas, D. (2019) 'Optimal placement of drones for fast sensor energy replenishment using wireless power transfer', 2019 Wireless Days (WD), Manchester, UK, 24-26 April. doi: 10.1109/WD.2019.8734203en
dc.identifier.doi10.1109/WD.2019.8734203en
dc.identifier.eissn2156-972X
dc.identifier.endpage6en
dc.identifier.isbn978-1-7281-0117-0
dc.identifier.isbn978-1-7281-0118-7
dc.identifier.issn2156-9711
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/8210
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/13/RC/2077/IE/CONNECT: The Centre for Future Networks & Communications/en
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::MSCA-COFUND-FP/713567/EU/Cutting Edge Training - Cutting Edge Technology/EDGEen
dc.relation.urihttps://ieeexplore.ieee.org/document/8734203
dc.rights© 2019, 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
dc.subjectLinear programmingen
dc.subjectRadiofrequency power transmissionen
dc.subjectRemotely operated vehiclesen
dc.subjectTelecommunication controlen
dc.subjectTelecommunication network planningen
dc.subjectWireless sensor networksen
dc.subjectWireless sensors networksen
dc.subjectNode maintenanceen
dc.subjectEnergy harvesting technologiesen
dc.subjectFlying dronesen
dc.subjectFast heuristic algorithmen
dc.subjectMinimum energy demandsen
dc.subjectFast sensor energy replenishmenten
dc.subjectWireless power transferen
dc.subjectRadiofrequency signalsen
dc.subjectRF signalsen
dc.subjectOD3Pen
dc.subjectOptimal drone placement and planning problemen
dc.subjectDronesen
dc.titleOptimal placement of drones for fast sensor energy replenishment using wireless power transferen
dc.typeConference itemen
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