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This paper focuses on indoor localization in Wireless Local Area Networks (WLANs). The authors investigate the unequal contribution of each Access Point (AP) on location estimation. The main contribution is two parts. First, a novel mechanism is proposed to measure the degrees of the AP importance. The importance of each AP is quantified by the signal discrimination between distinct locations. They utilize such numerical relevancies to select important APs for positioning. Second, the importance is further embedded into their positioning system. They provide a weighted kernel function where the effect of APs is differentiated. That is, the larger weights are assigned to the more important APs. Moreover, they develop a quasi-entropy function to avoid an abrupt change on the weights.
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