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This paper presents a novel wireless sensor network outlier detection algorithm based on clustering (ODC). Firstly, the ODC algorithm defines time slot for data sampling. After that, ODC get reasonable clusters for all time slots with nodes as attributes. After the clustering process, it gets the maximum cluster and the minimum cluster. It assigns all time slots according to the distances to the two...
This paper presents a novel wireless sensor network data imputation algorithm based on minimized similarity distortion (MSD). Firstly, the MSD algorithm considers attributes of the sensor datasets besides spatial and temporal to achieve complete dimensional data segmentations. It improves the problem of ignoring both the relationship of different attributes and the similar details in local data area...
In order to localize the mobile targets in real time and with high accuracy, by employing mean shift algorithm to generate the proposal distribution for the joint particle filter, this paper proposes a novel mobile target localization algorithm, which we called mean shift particle filter. The mean shift particle filter algorithm significantly improves the accuracy of the particle state estimation...
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