• Mi Re-Unir
    Búsqueda Avanzada
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Ver ítem 
    •   Inicio
    • RESULTADOS DE INVESTIGACIÓN
    • Artículos Científicos WOS y SCOPUS
    • Ver ítem
    •   Inicio
    • RESULTADOS DE INVESTIGACIÓN
    • Artículos Científicos WOS y SCOPUS
    • Ver ítem

    Smart green ocean underwater IoT network by ICA-based acoustic blind MIMO OFDM transceiver With analysis of acoustic channel sparsity and blind estimation efficinecy in data rate and energy consumption

    Autor: 
    Khosravy, Mahdi
    ;
    Gupta, Neeraj
    ;
    Dey, Nilanjan
    ;
    Moreno-Ger, Pablo
    Fecha: 
    2021
    Palabra clave: 
    IoT; Underwater IoT; Smart ocean; MIMO network; Independent component analysis; Channel estimation; Sparse channel; WOS(2); Scopus
    Revista / editorial: 
    Earth science informatics
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/12161
    DOI: 
    https://doi.org/10.1007/s12145-021-00584-8
    Dirección web: 
    https://link.springer.com/article/10.1007%2Fs12145-021-00584-8
    Resumen:
    Multi-Input Multi-Output (MIMO) telecommunication systems with Orthogonal Frequency Division Modulation (OFDM) scheme support high rate data exchange which can be efficiently applied to the fast-growing networks of Internet of Things (IoT). In the case of Underwater IoT (UIoT) where the strength of electromagnetic waves rapidly falls off, the MIMO network can be effectively implemented by substitute of acoustic OFDM instead of the normal one. Due to these advantages, this research work suggests ICA based acoustic MIMO OFDM for UIoT wherein the data rate is further improved as the MIMO OFDM is implemented based on blind channel estimation and multi-user identification without the need for using any pilot and preamble data. Also, theoretical analysis shows the data rate increases and energy consumption decreases due to ICA-based MIMO acoustic channel estimation. In the case of the under-work UIoT network, it achieves 52.38% higher data rate, and 41.67% less energy consumption. As another specific result, the proposed method shows high efficiency on sparse underwater channels and as the channel sparseness gets lower, the efficiency decreases.
    Mostrar el registro completo del ítem
    Este ítem aparece en la(s) siguiente(s) colección(es)
    • Artículos Científicos WOS y SCOPUS

    Estadísticas de uso

    Año
    2012
    2013
    2014
    2015
    2016
    2017
    2018
    2019
    2020
    2021
    2022
    2023
    2024
    2025
    Vistas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    6
    37
    35
    59
    42
    Descargas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0

    Ítems relacionados

    Mostrando ítems relacionados por Título, autor o materia.

    • Economic data analytic AI technique on IoT edge devices for health monitoring of agriculture machines 

      Gupta, Neeraj; Khosravy, Mahdi; Patel, Nilesh; Dey, Nilanjan; Gupta, Saurabh; Darbari, Hemant; González-Crespo, Rubén (Applied Sciences, 07/2020)
      In the era of Internet of things (IoT), network Connection of an enormous number of agriculture machines and service centers is an expectation. However, it will be with a generation of massive volume of data, thus overwhelming ...
    • Lightweight Artificial Intelligence Technology for Health Diagnosis of Agriculture Vehicles: Parallel Evolving Artificial Neural Networks by Genetic Algorithm 

      Gupta, Neeraj; Khosravy, Mahdi; Gupta, Saurabh; Dey, Nilanjan; González-Crespo, Rubén (Springer, 02/2022)
      This paper focuses on developing a computationally economic lightweight artificial intelligence (AI) technology for smartphones. Until date, no commercial system is available on this technology. Thus the developed breakthrough ...
    • Economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles 

      Gupta, Neeraj; Gupta, Saurabh; Khosravy, Mahdi; Dey, Nilanjan; Joshi, Nisheeth; González-Crespo, Rubén; Patel, Nilesh (Journal of intelligent manufacturing, 2022)
      Today’s Agriculture vehicles (AgV)s are expected to encompass mainly the three requirements of customers; economy, the use of High technology and reliability. In this manuscript, we investigate the technology solution for ...

    Mi cuenta

    AccederRegistrar

    ¿necesitas ayuda?

    Manual de UsuarioContacto: reunir@unir.net

    Listar

    todo Re-UnirComunidades y coleccionesPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de accesoEsta colecciónPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de acceso






    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja
     
    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja