Improved Active Sensing Performance in Wireless Sensor Networks via Channel State Information

Speaker: Alessandro Biason, When: Friday the 15th of April 2016, Time: 14:30, Room: 201 (DEI/A)

Abstract. Active sensing refers to the process of choosing or tuning a set of sensors in order to track an underlying system in an efficient and accurate way. In a wireless environment, among the several kinds of features extracted by traditional sensors, the information carried by the communication channel about the state of the system can be used to further boost the tracking performance and save energy. A joint tracking problem which considers traditional measurements and channel together for tracking purposes is set up and solved. The system is modeled as a partially observable Markov decision problem and the properties of the cost-to-go function are used to reduce the problem complexity.