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THWARTING SELFISH BEHAVIOR IN 802.11 WLANS
ABSTRACT:
The 802.11e standard enables user configuration of several MAC parameters, making
WLANs vulnerable to users that selfishly configure these parameters to gain throughput. In
this paper, we propose a novel distributed algorithm to thwart such selfish behavior. The key
idea of the algorithm is for stations to react, upon detecting a misbehavior, by using a more
aggressive configuration that penalizes the misbehaving station. We show that the proposed
algorithm guarantees global stability while providing good response times. By conducting an
analysis of the effectiveness of the algorithm against selfish behaviors, we also show that a
misbehaving station cannot obtain any gain by deviating from the algorithm. Simulation
results confirm that the proposed algorithm optimizes throughput performance while
discouraging selfish behavior. We also present an experimental prototype of the proposed
algorithm demonstrating that it can be implemented on commodity hardware.