Modeling of wireless link connectivity on high order markov chain

Abstract:

In order to meet the demand of dynamic wireless network precised link connectivity modeling, considering wireless channel propagation characteristics and mobility models, the link connectivity model based on high order Markov chain is established. Parameters of the model are statistically analyzed. The model is employed to evaluate the link life time of wireless network. The relationship of link life time error and Markov chain order is compared. Analysis shows that the accuracy of link life time improves with the increasing order of Markov chain. In addition, the accuracy of link life time generated by Markov chain whose order is higher than 4 improves inconspicuously. Compared to the multi-state one-order Markov link connectivity model, the error of four-order Markov model link life time decreases 68%.