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dc.contributor.advisorJaggi, Neeraj
dc.contributor.authorGiri, VamshiKrishna Reddy
dc.date.accessioned2011-09-02T15:53:53Z
dc.date.available2011-09-02T15:53:53Z
dc.date.copyright2010en
dc.date.issued2010-12
dc.identifier.othert10089
dc.identifier.urihttp://hdl.handle.net/10057/3718
dc.descriptionThesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science.en_US
dc.description.abstractCurrent wireless MAC protocols are designed to provide an equal share of throughput to all nodes in the network. However, the presence of misbehaving nodes (selfish nodes that deviate from standard protocol behavior in order to obtain higher bandwidth) poses severe threats to the fairness aspects of MAC protocols. In this thesis, investigation of various types of MAC layer misbehaviors is done, and their effectiveness is evaluated in terms of their impact on important performance aspects including throughput, and fairness to other users. Observations obtained from the simulation of misbehaviors show that the effects of misbehavior are prominent only when the network traffic is sufficiently large and the extent of misbehavior is reasonably aggressive. In addition, it is also observed that the performance gains achieved using misbehavior exhibit diminishing returns with respect to its aggressiveness, for all types of misbehaviors considered. Crucial common characteristics among such misbehaviors are identified, and these learnings are used to design an effective measure to react towards such misbehaviors. Employing two of the most effective misbehaviors, it is shown that collective aggressiveness of non-selfish nodes is a possible strategy to react towards selfish misbehavior. Particularly, a dynamic collective aggressive reaction approach is demonstrated to ensure fairness in the network, however at the expense of overall network throughput degradation. In addition, the proposed adaptive reaction strategy provides the necessary disincentive to prevent selfish misbehavior in the network.en_US
dc.format.extentxiv, 74 leaves, ill.en
dc.language.isoen_USen_US
dc.publisherWichita State Universityen_US
dc.rightsCopyright VamshiKrishna Reddy Giri, 2010. All rights reserveden
dc.subject.lcshElectronic dissertationsen
dc.titleMac layer misbehavior effectiveness and collective aggressive reaction approachen_US
dc.typeThesisen_US


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  • CE Theses and Dissertations
    Doctoral and Master's theses authored by the College of Engineering graduate students
  • EECS Theses and Dissertations
    Collection of Master's theses and Ph.D. dissertations completed at the Dept. of Electrical Engineering and Computer Science
  • Master's Theses
    This collection includes Master's theses completed at the Wichita State University Graduate School (Fall 2005 --)

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