关键词: 最小误差, 加权估计, 三边测量法, FTL算法

Abstract: In wireless sensor networks lakes monitoring, the node location which randomly drifts in a certain range, makes location accuracy need to amend and improve. Minimum Error of Secondary Localization Estimation algorithm（MESLE） is proposed in this paper, initially, two groups of three beacon nodes are placed at two sides of the network, and trilateration method is used to locate the unknown node, the central point is calculated through the analysis of RSSI ranging error, and then it sets up two groups of measuring coordinate to location correction, finally weighted estimates the two sets of coordinate measuring results with the help of hop distance to obtain the optimized minimum error of node localization. It is shown that MESLE can effectively reduce the positioning error in lakes monitoring compared to the conventional trilateration method and FTL algorithm through the simulation.

Key words: minimum error, weighted estimate, trilateration, FTL algorithm