In thewireless sensor network (WSN) localization methods based on Received Signal Strength Indicator (RSSI), it is usually required\nto determine the parameters of the radio signal propagation model before estimating the distance between the anchor node and\nan unknown node with reference to their communication RSSI value. And finally we use a localization algorithm to estimate the\nlocation of the unknown node. However, this localization method, though high in localization accuracy, has weaknesses such as\ncomplex working procedure and poor system versatility. Concerning these defects, a self-adaptive WSN localization method based\non least square is proposed, which uses the least square criterion to estimate the parameters of radio signal propagation model,\nwhich positively reduces the computation amount in the estimation process. The experimental results show that the proposed\nself-adaptive localization method outputs a high processing efficiency while satisfying the high localization accuracy requirement.\nConclusively, the proposed method is of definite practical value.
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