Probabilistic dynamic distribution of wireless sensor networks with improved distribution method based on electromagnetism-like algorithm

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dc.authoridKarci, Ali/0000-0002-8489-8617
dc.authoridOZDAG, Recep/0000-0001-5247-5591
dc.authorwosidKarci, Ali/AAG-5337-2019
dc.authorwosidKARCI, Ali/A-9604-2019
dc.contributor.authorOzdag, Recep
dc.contributor.authorKarci, Ali
dc.date.accessioned2024-08-04T20:41:18Z
dc.date.available2024-08-04T20:41:18Z
dc.date.issued2016
dc.departmentİnönü Üniversitesien_US
dc.description.abstractPerformance of the Wireless Sensor Networks (WSNs) depends significantly on coverage area which is determined via the effective dynamic distribution of sensors. Making mobile sensors' dynamic distributions, which determines their positions within the network effectively, improves performances of WSNs by enabling sensors to form the coverage area more efficiently. In this paper, we initially propose the electromagnetism-like (EM) algorithm as the sensor distribution strategy to increase the coverage area of network after random distribution of sensors. Forming more effective coverage area by using mobile and stationary sensors and probabilistic detection model has been aimed by developing the Optimal Sensor Detection Algorithm that is based on the proposed EM algorithm (OSDA-EM). For this purpose, it has been thought that we would attain to more realistic results, with probabilistic detection model by forming the coverage area more effectively. Additionally, performance of the developed OSDA-EM algorithm has been compared with the Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithms which was previously used in the dynamic distribution of WSNs. Simulation results have shown that the developed OSDA-EM can be preferred in dynamic distribution of WSNs that performed with probabilistic detection model. (C) 2015 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.measurement.2015.09.056
dc.identifier.endpage76en_US
dc.identifier.issn0263-2241
dc.identifier.issn1873-412X
dc.identifier.scopus2-s2.0-84946600493en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage66en_US
dc.identifier.urihttps://doi.org/10.1016/j.measurement.2015.09.056
dc.identifier.urihttps://hdl.handle.net/11616/97048
dc.identifier.volume79en_US
dc.identifier.wosWOS:000366121300007en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofMeasurementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectElectromagnetism-like algorithmen_US
dc.subjectWireless Sensor Networksen_US
dc.subjectOptimal dynamic distributionen_US
dc.subjectProbability detection modelen_US
dc.titleProbabilistic dynamic distribution of wireless sensor networks with improved distribution method based on electromagnetism-like algorithmen_US
dc.typeArticleen_US

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