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Projecte llegit

Títol: Predicting Control Information to Achieve Scalability in OLSR Networks

Estudiants que han llegit aquest projecte:

Director/a: MESEGUER PALLARÈS, ROC

Departament: DAC

Títol: Predicting Control Information to Achieve Scalability in OLSR Networks

Data inici oferta: 19-01-2012     Data finalització oferta: 19-09-2012


Estudis d'assignació del projecte:
    Tipus: Individual
     
    Lloc de realització: EETAC
     
    Paraules clau:
    AdHoc Network, Routing, Prediction
     
    Descripció del contingut i pla d'activitats:

    This project is focused on the validation and evaluation of a predictor designed
    for a wireless routing protocol named Optimized Link State Routing or OLSR,
    which is a proactive routing protocol, based on link-state algorithms and
    specifically designed for Mobile Ad Hoc Networks or MANETs.
    The aim of this predictor is to avoid the flooding of control messages when they
    are duplicated, i.e. redundant, since they are sent periodically although
    containing always the same information. Then, using this predictor, it is
    possible to reduce, to a greater or lesser extent, the overall traffic of the
    network, which can be traduced in an whole network improvement by reducing
    the energy and CPU consumption, decreasing the network congestion, and
    then, reducing loss rate.
    First of all, in order to analyze the impact of the predictor, it has been done an
    in-depth study the original OLSR protocol, specially focused on the generation
    and processing of the topology control messages or TC, which are the
    responsible of flooding the network topology. Then, tools as Bonnmotion 2.0
    and Network Simulator 2 have been used to generate different wireless mobile
    scenarios and simulate it, respectively. By means of the analysis of the
    resulting trace files, using AWK software, it has been characterized the OLSR
    behavior under the different proposed scenarios.
    Once known the OLSR functioning, it has been explained, validated and
    evaluated the impact of the introduction of the predictor (OLSRp). It has been
    defined the more appropriate scenarios for which the introduction of the
    predictor has a bigger positive impact, i.e. where more TC messages are
    redundant and its transmission throughout the network can be avoided.
    Finally, in order to know the environmental impact in terms of energy
    consumption reduction, it has been analyzed the energy saving achieved
    thanks to the predictor. Once again, the most appropriate scenarios in which
    the predictor impact produces the higher saving of energy have been
    characterized and exemplified in realistic scenarios where use it to take the
    most advantage of the predictor.
     
    Overview (resum en anglès):

    This project is focused on the validation and evaluation of a predictor designed
    for a wireless routing protocol named Optimized Link State Routing or OLSR,
    which is a proactive routing protocol, based on link-state algorithms and
    specifically designed for Mobile Ad Hoc Networks or MANETs.
    The aim of this predictor is to avoid the flooding of control messages when they
    are duplicated, i.e. redundant, since they are sent periodically although
    containing always the same information. Then, using this predictor, it is
    possible to reduce, to a greater or lesser extent, the overall traffic of the
    network, which can be traduced in an whole network improvement by reducing
    the energy and CPU consumption, decreasing the network congestion, and
    then, reducing loss rate.
    First of all, in order to analyze the impact of the predictor, it has been done an
    in-depth study the original OLSR protocol, specially focused on the generation
    and processing of the topology control messages or TC, which are the
    responsible of flooding the network topology. Then, tools as Bonnmotion 2.0
    and Network Simulator 2 have been used to generate different wireless mobile
    scenarios and simulate it, respectively. By means of the analysis of the
    resulting trace files, using AWK software, it has been characterized the OLSR
    behavior under the different proposed scenarios.
    Once known the OLSR functioning, it has been explained, validated and
    evaluated the impact of the introduction of the predictor (OLSRp). It has been
    defined the more appropriate scenarios for which the introduction of the
    predictor has a bigger positive impact, i.e. where more TC messages are
    redundant and its transmission throughout the network can be avoided.
    Finally, in order to know the environmental impact in terms of energy
    consumption reduction, it has been analyzed the energy saving achieved
    thanks to the predictor. Once again, the most appropriate scenarios in which
    the predictor impact produces the higher saving of energy have been
    characterized and exemplified in realistic scenarios where use it to take the
    most advantage of the predictor.

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