In this paper, we consider a mobile cognitive base station (MB) to transfer data and energy to IoT devices. The MB receives requests for data and energy from the cluster heads of the IoT devices, then it adjusts its transmission power and location to transfer data and energy to the IoT devices. The goal is to support data and energy demands of IoT devices within a certain time to guarantee a certain quality of service while minimizing the total energy consumption. We consider the energy consumption due to the mobility of the MB in addition to the energy consumed for data and energy consumption. The MB operates underlaying a primary network, and hence, the MB adjusts its transmission power and location such that the primary users are protected from harmful interference. We developed a mathematical model to solve the problem and find the optimal locations and transmission powers that minimize the total energy consumption. Simulation results show how the IoT devices, the primary users, the number of the MB locations, service time and the mobility of the MB influence the total energy consumption. We show that increasing the number of the MB locations and the maximum tolerable time for delivering data and energy allow the MB to provision the service while reducing the total energy consumption.