Selfish Misbehavior Detection in 802.11 Based Wireless Networks: An Adaptive Approach Based on Markov Decision Process
The open and distributed nature of the IEEE 802.11 based wireless networks provides selfish users the opportunity to gain an unfair share of the network throughput by manipulating the protocol parameters, say, using a smaller contention window. In this paper, the authors propose an adaptive approach for real-time detection of such selfish misbehavior. An adaptive detector is necessary in practice, as it needs to deal with different misbehaving scenarios where the number of selfish users and the contention windows exploited by each selfish user are different. In this paper, they first design a basic misbehavior detector based on the non-parametric CUmulative SUM (CUSUM) test.