Nowadays, there is an important need for fault-tolerant and energy-efficient self-organization systems, especially within smart cities. Internet of Things (IoT) proved capable of observing and examining the environment, generating & processing data. IoT is now applicable to almost every industry, including transportation and logistics, utilities, agriculture, smart cities, and more. In these industries, various types of meters, sensors, and trackers are used to constantly monitor activities, automate processes and optimize tasks. With the help of big data analytics, they can drive decision-making systems based on observations. As a result, the cities-management challenges are growing. The smart cities requirements are increasing to remedy the challenges, which requires a self-organized network composed of a sizeable number of nodes distributed across an area of interest. The traditional communication systems show limitations, especially when dealing with massive data rates, latency, the explosive growth of vehicular communication, and dynamic mobility. In this study, we explore a way to leverage the capabilities of wireless communication and big data analytics in favor of Smart Cities.


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    Titel :

    6G Enabled Smart Environments and Sustainable Cities: an Intelligent Big Data Architecture


    Beteiligte:
    Ouafiq, El Mehdi (Autor:in) / Saadane, Rachid (Autor:in) / Chehri, Abdellah (Autor:in) / Wahbi, Mohamed (Autor:in)


    Erscheinungsdatum :

    2022-06-01


    Format / Umfang :

    320754 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch