000096209 001__ 96209
000096209 005__ 20210902121614.0
000096209 0247_ $$2doi$$a10.1016/j.comnet.2019.106991
000096209 0248_ $$2sideral$$a115723
000096209 037__ $$aART-2020-115723
000096209 041__ $$aeng
000096209 100__ $$aRaschellà, Alessandro
000096209 245__ $$aA dynamic access point allocation algorithm for dense wireless LANs using potential game
000096209 260__ $$c2020
000096209 5060_ $$aAccess copy available to the general public$$fUnrestricted
000096209 5203_ $$aThis 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.
000096209 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T31-17R$$9info:eu-repo/grantAgreement/EC/H2020/644262/EU/What to do With the Wi-Fi Wild West/Wi-5$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 644262-Wi-5$$9info:eu-repo/grantAgreement/ES/MICINN/RTI2018-099063-B-100
000096209 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000096209 590__ $$a4.474$$b2020
000096209 591__ $$aCOMPUTER SCIENCE, HARDWARE & ARCHITECTURE$$b9 / 53 = 0.17$$c2020$$dQ1$$eT1
000096209 591__ $$aTELECOMMUNICATIONS$$b18 / 91 = 0.198$$c2020$$dQ1$$eT1
000096209 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b48 / 273 = 0.176$$c2020$$dQ1$$eT1
000096209 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b39 / 162 = 0.241$$c2020$$dQ1$$eT1
000096209 592__ $$a0.798$$b2020
000096209 593__ $$aComputer Networks and Communications$$c2020$$dQ1
000096209 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000096209 700__ $$aBouhafs, Faycal
000096209 700__ $$aMackay, Michael
000096209 700__ $$aShi, Qi
000096209 700__ $$0(orcid)0000-0001-9052-9554$$aOrtín, Jorge
000096209 700__ $$0(orcid)0000-0002-8682-745X$$aGállego, José Ramón$$uUniversidad de Zaragoza
000096209 700__ $$0(orcid)0000-0002-8298-4300$$aCanales, María$$uUniversidad de Zaragoza
000096209 7102_ $$15008$$2560$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Ingeniería Telemática
000096209 773__ $$g167 (2020), 106991 1-12$$pComput. networks$$tComputer Networks$$x1389-1286
000096209 8564_ $$s1077308$$uhttps://zaguan.unizar.es/record/96209/files/texto_completo.pdf$$yPostprint
000096209 8564_ $$s482822$$uhttps://zaguan.unizar.es/record/96209/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000096209 909CO $$ooai:zaguan.unizar.es:96209$$particulos$$pdriver
000096209 951__ $$a2021-09-02-08:42:51
000096209 980__ $$aARTICLE