ANN-Based Control of a Multiboat Group for the Deployment of an Underwater Sensor Network

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dc.authoridPotirakis, Stelios M./0000-0001-5928-4587
dc.authoridTuna, Gurkan/0000-0002-6466-4696
dc.authoridMichailidis, Emmanouel T./0000-0002-1077-0047
dc.authorwosidVasilescu, Iuliu/AAD-8067-2020
dc.authorwosidPotirakis, Stelios M./I-3399-2016
dc.authorwosidTuna, Gurkan/AAG-4412-2019
dc.authorwosidMichailidis, Emmanouel T./Y-7137-2019
dc.contributor.authorMichailidis, Emmanouel T.
dc.contributor.authorTuna, Gurkan
dc.contributor.authorGezer, Gulsum
dc.contributor.authorPotirakis, Stelios M.
dc.contributor.authorGulez, Kayhan
dc.date.accessioned2024-06-12T11:18:49Z
dc.date.available2024-06-12T11:18:49Z
dc.date.issued2014
dc.departmentTrakya Üniversitesien_US
dc.description.abstractUnderwater sensor networks (USNs) can be used for several types of commercial and noncommercial applications. However, some constraints resulting from the nature of aquatic environments severely limit their use. Due to constraints such as large propagation latency, low-bandwidth capacity, and short-distance communications, a large number of USN nodes are deployed to provide reliability in most applications. In this study, an unattended deployment approach based on the use of an autonomous boat group is proposed. A map of the deployment zone and optimal locations of USN nodes are fed into the onboard computers of the boat group. After processing these data and determining paths to be followed, the boat group deploys sensor nodes at predetermined locations. During the deployment, the boat group is controlled by an artificial neural network-(ANN-) based control system for reducing path errors. A set of performance evaluations is given to prove efficiency of the proposed control system. Performance results show that the boat group can successfully follow a predefined path set and deploy USN nodes. The tradeoffs between energy consumptions, end-to-end delay, and number of hops between underwater relay nodes of energy-efficient USN are also examined. The results indicate that increasing the number of hops reduces the total energy consumption and the end-to-end delay.en_US
dc.description.sponsorshipYildiz Technical University Scientific Research Projects Coordination Department [2013-04-04-KAP02]en_US
dc.description.sponsorshipThis research has been supported by Yildiz Technical University Scientific Research Projects Coordination Department, Project no. 2013-04-04-KAP02.en_US
dc.identifier.doi10.1155/2014/786154
dc.identifier.issn1550-1329
dc.identifier.issn1550-1477
dc.identifier.scopus2-s2.0-84904603608en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1155/2014/786154
dc.identifier.urihttps://hdl.handle.net/20.500.14551/24973
dc.identifier.wosWOS:000339211500001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherHindawi Ltden_US
dc.relation.ispartofInternational Journal Of Distributed Sensor Networksen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEnergy-Delay Tradeoffsen_US
dc.subjectCommunicationen_US
dc.subjectSounden_US
dc.titleANN-Based Control of a Multiboat Group for the Deployment of an Underwater Sensor Networken_US
dc.typeArticleen_US

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