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Mac layer misbehavior effectiveness and collective aggressive reaction approach

Current 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. / Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer Science.

Identiferoai:union.ndltd.org:WICHITA/oai:soar.wichita.edu:10057/3718
Date12 1900
CreatorsGiri, VamshiKrishna Reddy
ContributorsJaggi, Neeraj
PublisherWichita State University
Source SetsWichita State University
Languageen_US
Detected LanguageEnglish
TypeThesis
Formatxiv, 74 leaves, ill.
RightsCopyright VamshiKrishna Reddy Giri, 2010. All rights reserved

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