Data Reliability Analysis Of WSNs

WSNs (Wireless Sensor Networks) has been widely used in so many fields, such as the concept of Smart Home and Smart City. WSNs will profoundly change people's lives.With the National Science-technology Support Plan Projects, this paper analyzes the real data's feature and assesses the data's credibility. The research content has the following several points:Analyzing the features of the real data sets. In order to validate the distribution of data whether satisfy the prerequisites of data analysis, this paper analyzes the real data set, validate and summarize the feature of the data, determine how to deal the problem;Outlier analysis. According to the data analysis method, this paper uses the optimization algorithm for outlier analysis of the target data set, and obtained good results. Compared with the classical algorithm, the outlier analysis algorithm in this paper gets better result of outlier analysis, which improves the pertinence and effectiveness of the algorithm;Reliability analysis. Based on the traditional data quality evaluation method, this paper compares and selects the appropriate data reliability analysis method. In this paper, the data reliability of the node is evaluated by combining the non-outlier-rate and other important parameters of the target node, and get a more comprehensive evaluation results of node data credibility;Accomplishing analysis system. Based on the reliability evaluation method designed by this paper, a set of WSNs data reliability evaluation system is implemented.Based on the research of data reliability evaluation, this paper designs a set of solution to the real problem, which can effectively evaluate the reliability of WSNs node data. According to the result of reliability analysis, the data state of different nodes is evaluated synthetically.