Random access game in ad hoc networks with cooperative and noncooperative users
International Journal of Systems, Control and Communications
Modeling misbehavior in cooperative diversity: a dynamic game approach
EURASIP Journal on Advances in Signal Processing - Special issue on game theory in signal processing and communications
Detecting selfish configurations in 802.11 WLANs
IEEE Communications Letters
Detection of selfish nodes in networks using CoopMAC protocol with ARQ
IEEE Transactions on Wireless Communications
Reliable data fusion in wireless sensor networks: a dynamic Bayesian game approach
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Sequential detection of misbehaving nodes in cooperative networks with HARQ
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
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The CSMA/CA protocols are designed under the assumption that all participant nodes would abide to the protocol rules. This is of particular importance in distributed protocols such as the IEEE 802.11 distributed coordinating function (DCF), in which nodes control their own backoff parameters. In this work, we propose a method to detect selfish misbehaving terminals that may deliberately modify its backoff window to gain unfair access to the network resources. We develop nonparametric batch and sequential detectors based on the Kolmogorov-Smirnov (K-S) statistics that do not require any modification on the existing CSMA/CA protocols, and we apply it to detect misbehaviors in an IEEE 802.11 DCF network using the ns-2 simulator. We compare the performance of the proposed detectors with the optimum detectors with perfect information about the misbehavior strategy, for both the batch case (based on the Neyman-Pearson test), and the sequential case (based on Wald's sequential probability ratio test). We show that the proposed nonparametric detectors have a performance comparable to the optimum detectors for the majority of misbehaviors (the more severe) without any knowledge of the misbehavior strategies.