96209 20210902121614.0 doi 10.1016/j.comnet.2019.106991 sideral 115723 ART-2020-115723 eng Raschellà, Alessandro A dynamic access point allocation algorithm for dense wireless LANs using potential game 2020 Access copy available to the general public Unrestricted This work introduces an innovative Access Point (AP) allocation algorithm for dense Wi-Fi networks, which relies on a centralised potential game developed in a Software-Defined Wireless Networking (SDWN)-based framework. The proposed strategy optimises the allocation of the Wi-Fi stations (STAs) to APs and allows their dynamic reallocation according to possible changes in the capacity of the Wi-Fi network. This paper illustrates the design of the proposed framework based on SDWN and the implementation of the potential game-based algorithm, which includes two possible strategies. The main novel contribution of this work is that the algorithm allows us to efficiently reallocate the STAs by considering external interference, which can negatively affect the capacities of the APs handled by the SDWN controller. Moreover, the paper provides a detailed performance analysis of the algorithm, which describes the significant improvements achieved with respect to the state of the art. Specifically, the results have been compared against the AP selection considered by the IEEE 802.11 standards and another centralised algorithm dealing with the same problem, in terms of the data bit rate provided to the STAs, their dissatisfaction and Quality of Experience (QoE). Finally, the paper analyses the trade-off between efficient performance and the computational complexity achieved by the strategies implemented in the proposed algorithm. info:eu-repo/grantAgreement/ES/DGA/T31-17R info:eu-repo/grantAgreement/EC/H2020/644262/EU/What to do With the Wi-Fi Wild West/Wi-5 This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 644262-Wi-5 info:eu-repo/grantAgreement/ES/MICINN/RTI2018-099063-B-100 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 4.474 2020 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE 9 / 53 = 0.17 2020 Q1 T1 TELECOMMUNICATIONS 18 / 91 = 0.198 2020 Q1 T1 ENGINEERING, ELECTRICAL & ELECTRONIC 48 / 273 = 0.176 2020 Q1 T1 COMPUTER SCIENCE, INFORMATION SYSTEMS 39 / 162 = 0.241 2020 Q1 T1 0.798 2020 Computer Networks and Communications 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Bouhafs, Faycal Mackay, Michael Shi, Qi Ortín, Jorge (orcid)0000-0001-9052-9554 Gállego, José Ramón Universidad de Zaragoza (orcid)0000-0002-8682-745X Canales, María Universidad de Zaragoza (orcid)0000-0002-8298-4300 5008 560 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Ingeniería Telemática 167 (2020), 106991 1-12 Comput. networks Computer Networks 1389-1286 1077308 http://zaguan.unizar.es/record/96209/files/texto_completo.pdf Postprint 482822 http://zaguan.unizar.es/record/96209/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:96209 articulos driver 2021-09-02-08:42:51 ARTICLE