Vipnesh Jha, Sumit kumar srivastava
In this work, we focused on the problem of outlier detection in wireless sensor networks. Outlier detection techniques generally focus the developer’s or user’s context into the interesting events, or unexpected results in the network which has very low probability of occurrence. In this paper, we have proposed a model that is based on the approximation of the sensor data distribution. We processed and evaluated our proposed scheme with a set of experiments with datasets which is taken from Intel Berkeley research lab. The experimental evaluation shows that our algorithm can achieve very high precision and recall rates for identifying outliers
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