A Novel Secure Localization Algorithm against Distance Outliers in Wireless Sensor Networks

In the range-based localization systems of Wireless Sensor Networks, the existence of the distance outliers will severely decrease the localization accuracy. In order to eliminate distance outliers efficiently, an outlier detection model is constructed based on the geometric constrains of the Cayley-Menger determinant and l1 minimization decoding algorithm. Since not all the outliers can be detected in the detection process, Cayley-Menger determinant based linearization (CMDL) localization method is proposed to tolerate the errors and calculate the optimal estimated locations of unknown nodes. Simulation results demonstrate that the proposed secure localization method remains stable performance with the variation of outliers and improves the localization accuracy by wisely rejecting outliers.