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Wyszukujesz frazę "internet of things" wg kryterium: Temat

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    Wyświetlanie 1-3 z 3
    Tytuł:
    A Survey on Data Perception in Cognitive Internet of Things
    Autorzy:
    Bhajantri, Lokesh B.
    Baluragi, Prashant
    Powiązania:
    https://bibliotekanauki.pl/articles/309479.pdf
    Data publikacji:
    2019
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    Internet of Things
    Cognitive IT
    data perception
    cognitive agent
    Opis:
    A Cognitive Internet of Things (CIoT) is a brand of Internet of Things (IoT) with cognitive and agreeable mechanisms, which are incorporated to advance performance and accomplish insights into real world environments. CIoT can perceive present system’s conditions, analyze the apparent information, make smart choices, and increase the network performance. In this survey paper, we present classifications of data perception techniques used in CIoT. This paper also compares the data perception works against energy consumption, network life-time, resource allocation, and throughput, as well as quality of data and delay. In addition, simulation tools for IoT and their performance are discussed. Finally, we provide the model of cognitive agent-based data perception in CIoT for future research and development, which ensures the network performance in terms of reliability, energy efficient, accuracy, scalable, fault tolerant, and quality of data.
    Źródło:
    Journal of Telecommunications and Information Technology; 2019, 3; 75-86
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Comprehensive Survey on Resource Management in Internet of Things
    Autorzy:
    Bhajantri, Lokesh B.
    S., Gangadharaiah
    Powiązania:
    https://bibliotekanauki.pl/articles/1839312.pdf
    Data publikacji:
    2020
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    Internet of Things
    resource allocation
    resource discovery
    resource management
    Opis:
    Efficient resource management is a challenging task in distributed systems, such as the Internet of Things, fog, edge, and cloud computing. In this work, we present a broad overview of the Internet of Things ecosystem and of the challenges related to managing its resources. We also investigate the need for efficient resource management and the guidelines given/suggested by Standard Development Organizations. Additionally, this paper contains a comprehensive survey of the individual phases of resource management processes, focusing on resource modeling, resource discovery, resource estimation, and resource allocation approaches based on performance parameters or metrics, as well as on architecture types. This paper presents also the architecture of a generic resource management enabler. Furthermore, we present open issues concerning resource management, pointing out the directions of future research related to the Internet of Things.
    Źródło:
    Journal of Telecommunications and Information Technology; 2020, 4; 27-43
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Convolutional Neural Network Model Based Human Wearable Smart Ring System : Agent Approach
    Autorzy:
    Bhajantri, Lokesh B.
    Kagalkar, Ramesh M.
    Ranjolekar, Pundalik
    Powiązania:
    https://bibliotekanauki.pl/articles/2055210.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    internet of things
    agents
    convolutional neural networks
    smart ring system
    agent knowledge base
    Opis:
    The Internet of Things has a set of smart objects with smart connectivity that assists in monitoring real world environment during emergency situations. It could monitor the various applications of emergency situations such as road accidents, criminal acts including physical assaults, kidnap cases, and other threats to people’s way of life. In this work, the proposed work is to afford real time services to users in emergency situations through Convolutional Neural Networks in terms of efficiency and reliable services. Finally, the proposed work has simulated with respect to the performance parameters of the proposed scheme like the probability of accuracy and processing time.
    Źródło:
    International Journal of Electronics and Telecommunications; 2021, 67, 4; 673--678
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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