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Distributed Processing and Energy Saving Techniques in Mobile Crowd Sensing

Abstract:

@let@token Distributed Processing and Energy Saving Techniques in Mobile Crowd Sensing Page 1 Motivation Gap Proposal Implementation Conclusions Distributed Processing and Energy Saving Techniques in Mobile Crowd Sensing Enrique V. Carrera Department of Electrical Engineering Ecuadorian Armed Forces University September 1st, 2016 Grenoble, France ESPE-EnergySFE Enrique V. Carrera Page 2 Motivation Gap Proposal Implementation Conclusions Overview 1 Motivation 2 Research Gap 3 Our Proposal 4 Implementation 5 Conclusions ESPE-EnergySFE Enrique V. Carrera Page 3 Motivation Gap Proposal Implementation Conclusions Mobile Crowd Sensing • Successful society and city management relies on efficient monitoring of urban and community dynamics for decision and policy making • However, commercial sensor network techniques have never been successfully deployed in the real …

Año de publicación:

2016

Keywords:

    Fuente:

    googlegoogle

    Tipo de documento:

    Other

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Computación en la nube
    • Ingeniería energética

    Áreas temáticas de Dewey:

    • Ciencias de la computación
    • Doctrinas
    • Física aplicada
    Procesado con IAProcesado con IA

    Objetivos de Desarrollo Sostenible:

    • ODS 7: Energía asequible y no contaminante
    • ODS 11: Ciudades y comunidades sostenibles
    • ODS 9: Industria, innovación e infraestructura
    Procesado con IAProcesado con IA

    Contribuidores:

    Ricardo CarreraRicardo Carrera