For the characteristics of the binary exponential backoff, a single-step detection algorithm based on central limit theorem was presented in this paper, then for their less efficient problem, standardized questions was used to improve the treatment strategy, and complete theoretical analysis of detection performance. In order to improve the measurement accuracy of Cheap Lacoste Polo Shirts single-step algorithm, the authors introduce the algorithm for Markov chain model, implement multi-step detection, and get the detection efficiency of the model in theory. Finally, simulation experiments show that the CLT algorithm is superior to the DOMINO algorithm, in terms of detection correctness and convergence speed, and verify that the CLT algorithm and Markov chain model of chi hair straightener detection performance in theory is correct.Take advantage of CLT algorithm and chi straightener Markov model, we present a corresponding detection protocol, CM-SEC protocol. Many tasks should be deal with during detection, such as information collection, data processing and farwording, so it is chi flat iron necessary to design specific detection protocol. The protocol works periodic for intelligent attack. Based on CLT algorithm and Markov model, we adopt the strategy of cooperating detection with multi-nodes, Based on CM-SEC protocol , we build a wireless sharing channel network model with chi hair straighteners backoff attack with environment of Visual C++, Simulation experiments show that CM-SEC protocol can detect nodes of backoff attack accurately and efficiently, can improve the performance of network remarkably, and CM-SEC protocol just cause a little overhead in network.
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