Joint Placement and Device Association of UAV Base Stations in IoT Networks

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dc.contributor.authorAhmed, Ashfaq
dc.contributor.authorAwais, Muhammad
dc.contributor.authorAkram, Tallha
dc.contributor.authorKulaç, Selman
dc.contributor.authorAlhussein, Musaed
dc.contributor.authorAurangzeb, Khursheed
dc.date.accessioned2020-04-30T23:18:48Z
dc.date.available2020-04-30T23:18:48Z
dc.date.issued2019
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionAurangzeb, Dr. Khursheed/0000-0003-3647-8578; akram, tallha/0000-0003-4578-3849; Kulac, Selman/0000-0002-7737-1569; awais, muhammad/0000-0003-3791-4140en_US
dc.descriptionWOS: 000469766800201en_US
dc.descriptionPubMed: 31075952en_US
dc.description.abstractDrone base stations (DBSs) have received significant research interest in recent years. They provide a flexible and cost-effective solution to improve the coverage, connectivity, quality of service (QoS), and energy efficiency of large-area Internet of Things (IoT) networks. However, as DBSs are costly and power-limited devices, they require an efficient scheme for their deployment in practical networks. This work proposes a realistic mathematical model for the joint optimization problem of DBS placement and IoT users' assignment in a massive IoT network scenario. The optimization goal is to maximize the connectivity of IoT users by utilizing the minimum number of DBS, while satisfying practical network constraints. Such an optimization problem is NP-hard, and the optimal solution has a complexity exponential to the number of DBSs and IoT users in the network. Furthermore, this work also proposes a linearization scheme and a low-complexity heuristic to solve the problem in polynomial time. The simulations are performed for a number of network scenarios, and demonstrate that the proposed heuristic is numerically accurate and performs close to the optimal solution.en_US
dc.description.sponsorshipDeanship of Scientific Research at King Saud UniversityDeanship of Scientific Research at King Saud University [RG-1438-034]en_US
dc.description.sponsorshipThe authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through research group NO. (RG-1438-034).en_US
dc.identifier.doi10.3390/s19092157en_US
dc.identifier.issn1424-8220
dc.identifier.issue9en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.3390/s19092157
dc.identifier.urihttps://hdl.handle.net/20.500.12684/3530
dc.identifier.volume19en_US
dc.identifier.wosWOS:000469766800201en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakPubMeden_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofSensorsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectresource managementen_US
dc.subjectUnmanned aerial vehicles (UAVs)en_US
dc.subjectAerial base stationsen_US
dc.subjectInternet of Things (IoTs)en_US
dc.titleJoint Placement and Device Association of UAV Base Stations in IoT Networksen_US
dc.typeArticleen_US

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