• español
    • English
  • Login
  • español 
    • español
    • English
  • Tipos de Publicaciones
    • bookbook partconference objectdoctoral thesisjournal articlemagazinemaster thesispatenttechnical documentationtechnical report
Ver ítem 
  •   IMDEA Networks Principal
  • Ver ítem
  •   IMDEA Networks Principal
  • Ver ítem
JavaScript is disabled for your browser. Some features of this site may not work without it.

Chapter 32 - Crowdsensing architectures for smart cities

Compartir
Identificadores
URI: http://hdl.handle.net/20.500.12761/793
Metadatos
Mostrar el registro completo del ítem
Autor(es)
Fiandrino, Claudio; Capponi, Andrea; Kliazovich, Dzmitry; Bouvry, Pascal
Fecha
2020-02
Resumen
Smart cities take advantage of information and communication technology developments to provide added value to existing public services and improve citizens' quality of life. Mobile crowdsensing (MCS) has become, in the last few years, one of the most prominent paradigms for urban sensing. The citizens actively participate in the sensing process by contributing data with their mobile devices. To produce data, citizens sustain costs, that is, the mobile devices consume energy for sensing and reporting operations. This chapter emphasizes the role of energy management in MCS by assessing the performance of multiple data-collection frameworks and presents the applicability of MCS in a smart public street lighting scenario.
Compartir
Identificadores
URI: http://hdl.handle.net/20.500.12761/793
Metadatos
Mostrar el registro completo del ítem

Listar

Todo IMDEA NetworksPor fecha de publicaciónAutoresTítulosPalabras claveTipos de contenido

Mi cuenta

Acceder

Estadísticas

Ver Estadísticas de uso

Difusión

emailContacto person Directorio wifi Eduroam rss_feed Noticias
Iniciativa IMDEA Sobre IMDEA Networks Organización Memorias anuales Transparencia
Síguenos en:
Comunidad de Madrid

UNIÓN EUROPEA

Fondo Social Europeo

UNIÓN EUROPEA

Fondo Europeo de Desarrollo Regional

UNIÓN EUROPEA

Fondos Estructurales y de Inversión Europeos

© 2021 IMDEA Networks. | Declaración de accesibilidad | Política de Privacidad | Aviso legal | Política de Cookies - Valoramos su privacidad: ¡este sitio no utiliza cookies!