Node localization is one of the important supporting technologies for wireless sensor network. Location information has a key role for application of WSN. The accuracy of localization as main measurement of location performance, is a direct reflection of merit chi straightener and applicability of positioning technology. For accuracy of general distributed positioning algorithm is not high, refinement algorithm (Hop-refinement) based on hop number is proposed in the chi flat iron paper, including the following main elements:(1) Hop-refinement algorithm utilizes information of reference nodes (anchor nodes and coarse positioning nodes) to adjust the location of unknown nodes, which could improve accuracy of localization. In the network with sparse anchors, it can increase rate of polo shirts coverage of node localization.(2) In Hop-refinement algorithm, setting conditions of node choosing, unknown node localization updating and algorithm iteration stopping, involving relative confidence chi hair straighteners and using hair straighteners weight least squares based on Taylor expansion to compute node location, could effectively reduce accumulation of error of localization and measurement.(3) Hop-refinement algorithm can be applied to different node localization algorithm (range-based and range-free). Hop-refinement is applied in DV-Hop algorithm to be RP-Hop algorithm (Robust Positioning Hop).Using Lacoste Polo Shirts and Matlab simulation tool to simulate algorithm. The results show that compare RP-Hop algorithm and Robust Positioning algorithm. The results show that Hop-refinement algorithm could effectively improve accuracy of positioning algorithm. Comparing RP-Hop algorithm and Robust positioning algorithm can prove that Hop-refinement algorithm can reduce accumulation of error in iterative computing and discount wedding dresses accuracy of positioning of Hop-refinement algorithm is higher than Robust Positioning algorithm.
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