Abstract
This paper considers data collection in a wireless powered Internet of Things (IoT) network. Specifically, it addresses the novel problem of determining the mode of each time slot, where a Hybrid Access Point (HAP) needs to decide whether to charge or collect data from devices. Also, in data time slots, the HAP has to decide on a device for data transmission. To this end, we outline an Integer Linear Program (ILP) to determine the mode and the transmitting device over a given planning time horizon. We also propose a rolling horizon approach that uses a Gaussian Mixture Model (GMM) to estimate channel gains. Our results indicate that the amount of data collected by the HAP is affected by its charging power, distance between the HAP and each device, number of devices and planning horizon length. The rolling horizon approach allows the HAP to collect 740% more data as compared to competing approaches.