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Survivability Strategies for Emerging Wireless Networks With Data Mining Techniques: a Case Study With NetLogo and RapidMiner

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Survivability Strategies for Emerging Wireless Networks With Data Mining Techniques: a Case Study With NetLogo and RapidMiner

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García-Magariño, I.; Gray, G.; Lacuesta Gilabert, R.; Lloret, J. (2018). Survivability Strategies for Emerging Wireless Networks With Data Mining Techniques: a Case Study With NetLogo and RapidMiner. IEEE Access. 6:27958-27970. https://doi.org/10.1109/ACCESS.2018.2825954

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/143116

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Title: Survivability Strategies for Emerging Wireless Networks With Data Mining Techniques: a Case Study With NetLogo and RapidMiner
Author: García-Magariño, Iván Gray, Geraldine Lacuesta Gilabert, Raquel Lloret, Jaime
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] Emerging wireless networks have brought Internet and communications to more users and areas. Some of the most relevant emerging wireless technologies are Worldwide Interoperability for Microwave Access, Long-Term ...[+]
Subjects: Agent-based-simulation , Big data , Multi-agent system , Wireless network
Copyrigths: Reserva de todos los derechos
Source:
IEEE Access. (eissn: 2169-3536 )
DOI: 10.1109/ACCESS.2018.2825954
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/ACCESS.2018.2825954
Thanks:
This work was supported in part by the research project Construccion de un framework para agilizar el desarrollo de aplicaciones moviles en el a mbito de la salud through the University of Zaragoza and Foundation Ibercaja ...[+]
Type: Artículo

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