Pairwise-based Multi-Attribute Decision Making Approach for Wireless Network
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In the wireless network applications, such as routing decision, network selection, etc., the Multi-Attribute Decision Making (MADM) has been widely used. The MADM approach can address the multi-objective decision making issues effectively.However, when the parameters vary greatly, the traditionalMADM algorithm is not effective anymore. To solve this problem,in this paper, we propose the pairwise-based MADM algorithm.In the PMADM, only two nodes utilities are calculated and compared each time. The PMADM algorithm is much more accurate than the traditional MADM algorithm. Moreover, we also prove that our PMADM algorithm is sensitive to the parameters which vary seriously and in-sensitive to the parameters which change slightly. This property is better than that of the traditional MADM algorithm. Additionally, the PMADM algorithm is more stable than the traditional MADM algorithm. For reducing the computational complexity of the PMADM algorithm, we propose the low-complexity PMADM algorithm. For analyzing the computational complexity of the lPMADM algorithm, we propose the tree-based decomposing algorithm in this paper. The lPMADM algorithm has the same properties and performances as that of the PMADM algorithm; however, it is simpler than the PMADM algorithm. The simulation results show that the PMADM and lPMADM algorithms are much more effective than the traditional MADM algorithm.
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