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Solving a Realistic Location Area Problem Using SUMATRA Networks with the Scatter Search Algorithm

2009-12Conference paper Restricted access
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dc.contributor.authorLuz, Sónia Maria Almeida da
dc.contributor.authorVega-Rodríguez, Miguel A.
dc.contributor.authorGómez-Pulido, Juan A.
dc.contributor.authorSánchez-Pérez, Juan M.
dc.date.accessioned2025-06-06T09:10:35Z
dc.date.available2025-06-06T09:10:35Z
dc.date.issued2009-12
dc.descriptionArticle number 5365062 - 9th International Conference on Intelligent Systems Design and Applications, ISDA 2009 30 November 2009 through 2 December 2009 - Code 79565
dc.description.abstractThis paper presents a new approach based on the Scatter Search (SS) algorithm applied to the Location Management problem using the Location Area (LA) scheme. The LA scheme is used to achieve the best configuration of the network partitioning, into groups of cells (location areas), that minimizes the costs involved. In this work we execute five distinct experiments with the aim of setting the best values for the Scatter Search parameters, using test networks generated with realistic data [1]. We also want to compare the results obtained by this new approach with those achieved through classical strategies, other algorithms from our previous work and also by other authors. The simulation results show that this SS based approach is very encouraging.eng
dc.description.sponsorshipAcknowledgment: This work was partially funded by the Spanish Ministry of Science and Innovation and FEDER under the contract TIN2008-06491-C04-04 (the M* project). Thanks also to the CIIC and the Polytechnic Institute of Leiria, for the economic support offered to Sónia M. Almeida-Luz to make this research.
dc.identifier.citationS. M. Almeida-Luz, M. A. Vega-Rodríguez, J. A. Gómez-Pulido and J. M. Sánchez-Pérez, "Solving a Realistic Location Area Problem Using SUMATRA Networks with the Scatter Search Algorithm," 2009 Ninth International Conference on Intelligent Systems Design and Applications, Pisa, Italy, 2009, pp. 689-694, doi: https://doi.org/10.1109/ISDA.2009.51.
dc.identifier.doi10.1109/isda.2009.51
dc.identifier.eissn2164-7151
dc.identifier.isbn978-1-4244-4735-0
dc.identifier.issn2164-7143
dc.identifier.urihttp://hdl.handle.net/10400.8/13146
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation"TIN2008-06491-C04-04"
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/5365062
dc.relation.ispartof2009 Ninth International Conference on Intelligent Systems Design and Applications
dc.rights.uriN/A
dc.subjectlocation management
dc.subjectlocation area problem
dc.subjectmobile networks
dc.subjectscatter search
dc.subjectevolutionary algorithms
dc.subjectoptimization
dc.titleSolving a Realistic Location Area Problem Using SUMATRA Networks with the Scatter Search Algorithmeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2009-11
oaire.citation.conferencePlacePisa, Italy
oaire.citation.endPage694
oaire.citation.startPage689
oaire.citation.titleInternational Conference on Intelligent Systems Design and Applications
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAlmeida da Luz
person.givenNameSónia Maria
person.identifier.orcid0000-0003-1065-852X
relation.isAuthorOfPublication0da424a1-c370-4f2e-b700-53b4906abaa6
relation.isAuthorOfPublication.latestForDiscovery0da424a1-c370-4f2e-b700-53b4906abaa6

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This paper presents a new approach based on the Scatter Search (SS) algorithm applied to the Location Management problem using the Location Area (LA) scheme. The LA scheme is used to achieve the best configuration of the network partitioning, into groups of cells (location areas), that minimizes the costs involved. In this work we execute five distinct experiments with the aim of setting the best values for the Scatter Search parameters, using test networks generated with realistic data [1]. We also want to compare the results obtained by this new approach with those achieved through classical strategies, other algorithms from our previous work and also by other authors. The simulation results show that this SS based approach is very encouraging.
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