Abstract
The devices and implementations of 5G networks are continuously improving, and people will probably use them daily in the near future. 5G networks will support ultra-dense networks. In the literature, several works apply 5G networks in smart cities and smart houses. One of the most common features of these works is to use priorities in tasks such as management of electrical consumption at houses, waste collection in cities, or pathfinding in self-driving cars. The proper management of priorities facilitates that urgent service requests are rapidly attended. However, to the best of our knowledge, the literature lacks appropriate mechanisms for considering users’ priorities in 5G ultra-dense networks. In this context, we propose a mobile application that allows citizens to request smart city services with different priority levels. The experiments showed the high performance of the app and its scalability when increasing priority list sizes. This app obtained 72.3% of usability in the System Usability Scale and 82.9% in the ease-of-use dimension of the Usefulness, Satisfaction, and Ease of use questionnaire.
Funding Information
  • Construcción de un framework para agilizar el desarrollo de aplicaciones móviles en el ámbito de la salud through the University of Zaragoza and the Foundation Ibercaja (JIUZ-2017-TEC-03)
  • Program—Estancias de movilidad en el extranjero José Castillejo para jóvenes doctores through the Spanish Ministry of Education, Culture and Sport (CAS17/00005)
  • Universidad de Zaragoza, Fundación Bancaria Ibercaja, and Fundación CAI in the Programa Ibercaja-CAI de Estancias de Investigación (IT24/16, IT1/18)
  • Research Project—Desarrollo Colaborativo de Soluciones AAL through the Spanish Ministry of Economy and Competitiveness (TIN2014-57028-R)
  • Organismo Autónomo Programas Educativos Europeos (2013-1-CZ1-GRU06-14277)
  • Fondo Social Europeo and the Departamento de Tecnología y Universidad del Gobierno de Aragón (Ref-T81)
  • Ministerio de Economía y Competitividad in the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia, Subprograma Estatal de Generación de Conocimiento within the project (TIN2017-84802-C2-1-P)

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