With the growing use of large-scale sensor networks, huge volumes of sensor data are being generated from structural health monitoring systems. Vibration sensor data often constitute a large portion of the monitoring data from a structural health monitoring system. Efficient transmission and management of large-size vibration sensor datasets are becoming an increasingly important aspect of structural health monitoring systems. To address this problem of emerging importance, this paper presents a novel method for interactive retrieval and management of sensor network data. Pre-defined features obtained from principal components analysis (PCA) are proposed for the detection of changes in the monitored structure. The PCA transform and linear predictor are also used in the data compression scheme to allow users to retrieve data progressively with significantly reduced data size. The results of a case study involving wireless sensor network data collected from a five-story model building are presented to demonstrate the potential use of the proposed method in the transmission and management of sensor network data. The proposed method is believed to provide data users with the flexibility to select data and retrieve data at multi-resolution levels, reducing raw data size, relaxing the communication bandwidth requirement, and speeding up the data transmission process.
Abstract. Smart grid has attracted much attention by the requirement of new generation renewable energy. Nowadays, the real-time state estimation, with the help of phasor measurement unit, plays an important role to keep smart grid stable and efficient. However, the limitation of the communication channel is not considered by related work. Considering the familiar limited on-board batteries wireless sensor in smart grid, transmission power schedule is designed in this paper, which minimizes energy consumption with proper EKF filtering performance requirement constrain. Based on the event-triggered estimation theory, the filtering algorithm is also provided to utilize the information contained in the power schedule. Finally, its feasibility and performance is demonstrated using the standard IEEE 39-bus system with phasor measurement units ( PMUs).
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