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This paper is devoted to sensor scheduling for a class of sensor networks whose sensors are spatially distributed and measurements are influenced by state dependent noise. Sensor scheduling is required to achieve power saving since each sensor operates with a battery power source. The sensor scheduling problem is formulated as model predictive control which minimizes a quadratic cost function with...
This paper addresses a sensor scheduling problem for a class of networked sensor systems whose sensors are spatially distributed and measurements are influenced by state dependent noise. Sensor scheduling is required to achieve power saving since each sensor operates with a battery power source. A networked sensor system usually consists of a large number of sensors, but the sensors can be classified...
This paper addresses a sensor scheduling problem for a class of networked sensor systems whose sensors are spatially distributed and measurements are influenced by state dependent noise. Sensor scheduling is required to achieve power saving since each sensor operates with a battery power source. The scheduling problem is formulated as a model predictive control problem with single sensor measurement...
In this paper, a sensor scheduling problem for a class of mobile sensor networks is addressed. It is assumed that the measurement noises of the sensors depend on the state of the system and all sensors have the same characteristics. In mobile sensor networks, the positions of the sensors have stochastic uncertainties. We show consider a sensor model which has stochastic uncertainties for the positions...
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