关键词: 差错概率, 识别, 定位, 网格投票, 二值数据

Abstract: The nodes in the sensor network are vulnerable to interference when sensing data, so it gets the wrong data. In order to solve the problem of fault tolerance, a two value data-based fault tolerant multiple sources  localization algorithm（TMSFTL） is proposed. Firstly, the error probability of sensor nodes is analyzed, and the target source is identified and located by two valued data. When identifying, it uses Distributed Competitive Leader（DCL） algorithm to generate a leader node. By estimating the number of Leader nodes, it achieves the identification of the target source. Based on grid voting（GBV） mechanism, the target source is located in the positioning stage. In [Rc=15,][Rs=1.5] conditions, TMSFTL and DNLEP algorithm compare three aspects of the identification of two or more sources, the positioning performance, in the case of noise and error TMSFTL algorithm maintains high positioning performance, the error probability is 0.25, root mean square error is less than 8 m, the performance is much better than DNLEP algorithm.

Key words: error probability, identification, location, grid vote, two value data