Wireless network optimization for massive V2I data collection using multiobjective harmony search heuristics

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dc.contributor.authorSobron, Iker
dc.contributor.authorAlonso, Borja
dc.contributor.authorVélez, Manuel
dc.contributor.authorDel Ser, Javier
dc.contributor.editorDel Ser, Javier
dc.contributor.institutionIA
dc.date.accessioned2024-07-24T11:53:32Z
dc.date.available2024-07-24T11:53:32Z
dc.date.issued2017
dc.descriptionPublisher Copyright: © Springer Nature Singapore Pte Ltd. 2017.
dc.description.abstractThis paper proposes to improve the efficiency of the deployment of wireless network infrastructure for massive data collection from vehicles over regional areas. The increase in the devices that are carried by vehicles makes it especially interesting being able to gain access to that data. From a decisional point of view, this collection strategy requires defining a wireless Vehicular-to-Infrastructure (V2I) network that jointly optimizes the level of service and overall CAPEX/OPEX costs of its deployment. Unfortunately, it can be intuitively noted that both optimization objectives are connecting with one another: adding more equipment will certainly increase the level of service (i.e. coverage) of the network, but costs of the deployment will rise accordingly. A decision making tool blending together both objectives and inferring therefrom a set of Pareto-optimal deployments would be of utmost utility for stakeholders in their process of provisioning budgetary resources for the deployment. This work will explore the extent to which a multi-objective Harmony Search algorithm can be used to compute the aforementioned Pareto-optimal set of deployment by operating on two different optimization variables: the geographical position on which wireless receivers are to be deployed and their type, which determines not only their coverage range but also their bandwidth and cost. In particular we will utilize a non-dominated sorting strategy criterion to select the harmonies (solution vectors) evolved by Harmony Search heuristics.en
dc.description.sponsorshipThis work has been financially supported in part by the University of the Basque Country (UFI 11/30), in part by the Basque Government (IT-683-13 and ELKARTEK program under BID3A and BID3ABI projects) and in part by the Spanish Ministry of Economy and Competitiveness under Project 5G-NewBROs (TEC2015-66153-P MINECO/FEDER) and the European Regional Development Fund, ERDF.
dc.description.statusPeer reviewed
dc.format.extent10
dc.identifier.citationSobron , I , Alonso , B , Vélez , M & Del Ser , J 2017 , Wireless network optimization for massive V2I data collection using multiobjective harmony search heuristics . in J Del Ser (ed.) , Harmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) . Advances in Intelligent Systems and Computing , vol. 514 , Springer Verlag , pp. 200-209 , Proceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017 , Bilbao , Spain , 22/02/17 . https://doi.org/10.1007/978-981-10-3728-3_20
dc.identifier.citationconference
dc.identifier.doi10.1007/978-981-10-3728-3_20
dc.identifier.isbn9789811037276
dc.identifier.issn2194-5357
dc.identifier.urihttps://hdl.handle.net/11556/2308
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85012122671&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.ispartofHarmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computing
dc.relation.projectIDEusko Jaurlaritza, IT-683-13-BID3ABI
dc.relation.projectIDMinisterio de Economía y Competitividad, MINECO, TEC2015-66153-P
dc.relation.projectIDEuskal Herriko Unibertsitatea, EHU, UFI 11/30
dc.relation.projectIDEuropean Regional Development Fund, ERDF
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsCost-efficient deployment
dc.subject.keywordsHarmony search
dc.subject.keywordsVehicular networks
dc.subject.keywordsControl and Systems Engineering
dc.subject.keywordsGeneral Computer Science
dc.titleWireless network optimization for massive V2I data collection using multiobjective harmony search heuristicsen
dc.typeconference output
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