A new model for indoor propagation prediction using genetic algorithm
| dc.authorscopusid | 56217996200 | |
| dc.contributor.author | Aydın, Elif | |
| dc.contributor.other | Department of Electrical & Electronics Engineering | |
| dc.date.accessioned | 2024-07-05T14:34:01Z | |
| dc.date.available | 2024-07-05T14:34:01Z | |
| dc.date.issued | 2008 | |
| dc.department | Atılım University | en_US |
| dc.department-temp | Atilim Univ, Dept Elect & Elect Engn, TR-06836 Ankara, Turkey | en_US |
| dc.description.abstract | In this study, a new, simple and accurate computation of the received signal strength (RSS) level for indoor environment is performed. The genetic algorithm (GA) approach is used for prediction of the RSS. The proposed model is formed on the knowledge of measurements without requiring any detail of the environment. The model provides a time efficient method to estimate RSS dynamically at any location in the test environment. The accuracy of the measurement results and the genetic algorithm approach are presented for three distinct transmitters located at different positions. | en_US |
| dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK) [ID 105E130] | en_US |
| dc.description.sponsorship | This work is partially supported in the scope of project ID 105E130 by the Scientific and Technological Research Council of Turkey (TUBITAK). The author also would like to thank all colleagues for measurements and for fruitful discussions. | en_US |
| dc.identifier.citation | 0 | |
| dc.identifier.doi | 10.1587/elex.5.1067 | |
| dc.identifier.endpage | 1073 | en_US |
| dc.identifier.issn | 1349-2543 | |
| dc.identifier.issue | 24 | en_US |
| dc.identifier.scopus | 2-s2.0-58149381867 | |
| dc.identifier.scopusquality | Q4 | |
| dc.identifier.startpage | 1067 | en_US |
| dc.identifier.uri | https://doi.org/10.1587/elex.5.1067 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/1007 | |
| dc.identifier.volume | 5 | en_US |
| dc.identifier.wos | WOS:000263988800007 | |
| dc.identifier.wosquality | Q4 | |
| dc.institutionauthor | Aydin, Elif | |
| dc.language.iso | en | en_US |
| dc.publisher | Ieice-inst Electronics information Communications Eng | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | indoor radio communication | en_US |
| dc.subject | propagation | en_US |
| dc.subject | genetic algorithm | en_US |
| dc.title | A new model for indoor propagation prediction using genetic algorithm | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
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