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Wireless sensor network analysis de rehman saeed (2 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2012

    3659202126 / 9783659202124

    • Tapa blanda

    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

    Vendedor de 4 estrellas
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    Condición: Usado - Como Nuevo

    EUR 163,37

    Envío por EUR 29,81 
    Se envía de Reino Unido a Estados Unidos de America

    Cantidad disponible: 1 disponible

    Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Idioma: Inglés

    Editorial: LAP Lambert Academic Publishing, 2012

    3659202126 / 9783659202124

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    • Impresión bajo demanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 66,55

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The emerging wireless technologies target a comprehensive range of new applications that the legacy wireless networks cannot support. On the contrary, low rate, low power data collection applications have been anticipated to have a crucial impact on our understanding of the physical world. Simplified technological versions of wireless networks are being worked upon to support these low rate applications in order to meet the stringent requirements of low energy consumption. In wireless networks, Medium Access Control (MAC) sublayer plays a vital role in satisfying the requirement of varying Quality of Service (QoS). Many MAC solutions have been proposed for these networks. In this book, the feasibility of existing solutions for MAC sublayer are reviewed and analyzed for Wireless Sensor Networks. Then the analysis of MAC protocol for recently emerged low rate, low power IEEE 802.15.4 standard is presented. The impact of packet size and number of nodes on the throughput, success probability and average delay is analyzed with Markov chain and OPNET simulation.…