AG Kommunikationstheorie
Thema:
Power Allocation for Sensor Networks with Application in Object ClassificationAbstract:
In this presentation, we introduce the power allocation problem for a distributed wireless sensor network which is based on ultra-wide bandwidth communication technology and is used to perform object classification. In the considered scenarios the absence, the presence, or the type of an object is observed by the sensors independently. Due to noisy communication channels, the interfered observations are fused into a reliable global decision in order to increase the overall classification probability. An approach based on information theory, that aims at maximization of channel capacity, is employed. It allows for analytically described allocation of total given power to the sensors in order to maximize the overall classification probability. For the proposed allocation method some numerical results will be discussed at the end of the presentation.