A Hybrid Metaheuristic Algorithm for the Localization Mobile Sensor Nodes

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dc.contributor.authorKirtil, Hasan Sencer
dc.contributor.authorSeyyedabbasi, Amir
dc.date.accessioned2024-03-13T10:30:20Z
dc.date.available2024-03-13T10:30:20Z
dc.date.issued2022
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description2nd International Conference on Forthcoming Networks and Sustainability in the IoT Era (FoNeS-IoT) -- JAN 08-09, 2022 -- ELECTR NETWORKen_US
dc.description.abstractWireless sensor Networks replace existing technologies in today's world. It has some problems in Wireless Sensor Networks (WSN) such as security, energy optimization or mobile localization. Wireless sensor networks are used extensively in sectors such as military sectors, geographic information systems, and meteorology systems. Therefore, efforts are being made to use wireless sensor networks faster and more accurately localization problem, which is among these problems, has an important place today. It is very important to find the location of the sensors quickly and with low error rate in applications such as military applications, emergency assistance. The basis of the problem is to find the geographical points of the nodes randomly distributed in the environment and whose locations are unknown, through anchor nodes. In this study, a hybrid structure was created by using Grasshopper Optimization Algorithm (GOA) and Whale Optimization Algorithm (WOA) metaheuristic algorithms for the location of nodes, and a hybrid structure was used to detect the locations of nodes in wireless sensor networks. Metaheuristic algorithms basically imitate these actions by digitizing the events of living things such as feeding, movement or hunting. While establishing the WOA algorithm used in the study, the hunting methods of whales in nature were taken into account. While establishing the GOA algorithm used in the study, the movement and communication between grasshoppers taken into account. Main purpose of this paper, determine faster and more suitable for the localization problem in wireless sensor networks with the new algorithm.en_US
dc.identifier.doi10.1007/978-3-030-99581-2_5
dc.identifier.endpage52en_US
dc.identifier.isbn978-3-030-99581-2
dc.identifier.isbn978-3-030-99580-5
dc.identifier.issn2367-4512
dc.identifier.scopus2-s2.0-85127856268en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage40en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-99581-2_5
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3289
dc.identifier.volume130en_US
dc.identifier.wosWOS:000782464300005en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofForthcoming Networks And Sustainability In The Iot Era (Fones-Iot 2021), Vol 2en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWSNen_US
dc.subjectMobile localizationen_US
dc.subjectOptimizationen_US
dc.subjectMetaheuristicen_US
dc.subjectWOAen_US
dc.subjectGOAen_US
dc.titleA Hybrid Metaheuristic Algorithm for the Localization Mobile Sensor Nodesen_US
dc.typeConference Objecten_US

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