Abstract: To select typical and comprehensive parameters reflecting link quality, an optimization approach was proposed based on dynamic intuitionistic fuzzy multiple attribute decision making. Considering stability and agility of link quality estimation, a method for order preference by similarity to an ideal solution was employed to get sorted parameters in candidate set according to decision making matrix coming from four different link levels, so that parameters are selected from sorted parameters. Based on the closeness of selected parameters, the selected parameters are fused with weighted average so as to achieve optimized link quality parameter which is the quality indicator based on dynamic intuitionistic fuzzy multiple attribute decision making (DMD-LQI). Experiments show that comparing with smoothed packet reception ratio (SPRR), fuzzy link quality estimator (F-LQE), the optimization approach is of better stability and agility.

Key words: wireless sensor networks, link quality parameter, dynamic intuitionistic fuzzy multiple attribute, link quality evaluation