Sensor data scheduling for optimal state estimation with communication energy constraint |
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Authors: | Ling Shi Peng Cheng Jiming Chen[Author vitae] |
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Affiliation: | aDepartment of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;bInstitute of Industrial Process Control, Department of Control Science and Engineering, Zhejiang University, Hang Zhou, China |
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Abstract: | In this paper, we consider sensor data scheduling with communication energy constraint. A sensor has to decide whether to send its data to a remote estimator or not due to the limited available communication energy. We construct effective sensor data scheduling schemes that minimize the estimation error and satisfy the energy constraint. Two scenarios are studied: the sensor has sufficient computation capability and the sensor has limited computation capability. For the first scenario, we are able to construct the optimal scheduling scheme. For the second scenario, we are able to provide lower and upper bounds of the minimum error and construct a scheduling scheme whose estimation error falls within the bounds. |
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Keywords: | Kalman filtering Sensor scheduling Estimation theory Networked control |
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