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Full-Text Articles in Engineering
Energy-Efficient Soft Real-Time Scheduling For Parameter Estimation In Wsns, Senlin Zhang, Zixiang Wang, Meikang Qiu, Meiqin Liu
Energy-Efficient Soft Real-Time Scheduling For Parameter Estimation In Wsns, Senlin Zhang, Zixiang Wang, Meikang Qiu, Meiqin Liu
Electrical and Computer Engineering Faculty Publications
In wireless sensor networks (WSNs), homogeneous or heterogenous sensor nodes are deployed at a certain area to monitor our curious target. The sensor nodes report their observations to the base station (BS), and the BS should implement the parameter estimation with sensors’ data. Best linear unbiased estimation (BLUE) is a common estimator in the parameter estimation. Due to the end-to-end packet delay, it takes some time for the BS to receive sufficient data for the estimation. In some soft real-time applications, we expect that the estimation can be completed before the deadline with a probability. The existing approaches usually guarantee …
Target Tracking With Binary Sensor Networks, Mengmei Liu
Target Tracking With Binary Sensor Networks, Mengmei Liu
Theses and Dissertations--Electrical and Computer Engineering
Binary Sensor Networks are widely used in target tracking and target parameter estimation. It is more computationally and financially efficient than surveillance camera systems. According to the sensing area, binary sensors are divided into disk shaped sensors and line segmented sensors. Different mathematical methods of target trajectory estimation and characterization are applied. In this thesis, we present a mathematical model of target tracking including parameter estimation (size, intrusion velocity, trajectory, etc.) with line segmented sensor networks. Software simulation and hardware experiments are built based on the model. And we further analyze how the quantization noise affects the results.