ISBN: 9783836493949 - deliver more for less energy: exploring metrics prediction methods and their usage in multi-objective manet proactive routing (2 risultati)

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  • Lingua: Inglese

    Editore: VDM Verlag Dr. Müller, 2008

    3836493942 / 9783836493949

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    Da: preigu, Osnabrück, Germaniapreigu

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    Condizione: Nuovo

    EUR 51,10

    EUR 70,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 5 disponibili

    Taschenbuch. Condizione: Neu. Deliver more for less Energy | Exploring Metrics Prediction Methods and their Usage in Multi-objective Manet Proactive Routing | Zhihao Guo | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783836493949 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

  • Lingua: Inglese

    Editore: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller E.K., 2008

    3836493942 / 9783836493949

    • Brossura
    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 66,55

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Most existing MANET Proactive routing protocols rely heavily on hopcount evaluation. Although this is simple and efficient, it sacrificesthe potential performance gains obtainable by considering dynamicnetwork conditions such as congestion levels and link stability.Remedies of this issue have been presented by considering variouspredictive dynamic routing metrics mostly related to bandwidth andenergy consumption. However, those predictions do not fully appreciatethe nonstationary nature of the dynamic routing metrics and possibleheterogeneous power consumption of the nodes. With these addedconcerns, in this work, in-depth investigation is conducted onprediction and evaluation of dynamic routing metrics including queuingdelay, energy cost, and link stability. Artificial neural network modelsand advanced statistical methods are used for prediction of thesemetrics. Queuing delay and energy cost are investigated individuallyand then evaluated compositively together with predicted link stability. Their effects on multiple routingobjectives are extensively simulated and analyzed.…