Stochastic sensor activation for distributed state estimation over a sensor network |
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| Authors: | Wen Yang Guanrong Chen Xiaofan Wang Ling Shi |
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| Affiliation: | 1. Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology), Ministry of Education, Shanghai 200237, PR China;2. Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China;3. Department of Automation, Shanghai Jiaotong University, Shanghai 200240, PR China;4. Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, China |
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| Abstract: | We consider distributed state estimation over a resource-limited wireless sensor network. A stochastic sensor activation scheme is introduced to reduce the sensor energy consumption in communications, under which each sensor is activated with a certain probability. When the sensor is activated, it observes the target state and exchanges its estimate of the target state with its neighbors; otherwise, it only receives the estimates from its neighbors. An optimal estimator is designed for each sensor by minimizing its mean-squared estimation error. An upper and a lower bound of the limiting estimation error covariance are obtained. A method of selecting the consensus gain and a lower bound of the activating probability is also provided. |
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| Keywords: | Distributed state estimation Sensor scheduling Consensus |
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