Nowadays, Wireless Sensor Networks appear to be mature enough to be used by business applications. As delivered sensor data can strongly impact end users decision taking, business applications must rely on trustworthy sensor data. In this paper, we propose the evaluation of a trust model for sensor data [1] during its life-cycle from acquisition at the nodes, through processing to delivery to business applications. The purpose of this trust framework is the detection of erroneous sensor data which are originated either unintentionally due to defective sensor nodes or intentionally by attackers. For the evaluation of this approach, we use sensor data acquired from herd control experiment, in the context of the WASP (Wireless Accessible for Sensor Population) project[2]. In this experiment, information (e.g. acceleration, activity) of either animals are collected from sensor nodes, and used in order to take a decision by farmers.