On Complete Targets Coverage in RF-Harvesting Internet of Things Networks
This letter considers radio frequency (RF) energy harvesting and targets monitoring sensor nodes that are managed by a hybrid access point (HAP). We address a novel problem called maximizing data collected for complete targets' coverage (MDC-CTC) that involves computing a schedule comprising the time used by the HAP for charging, and the time used by the sensor nodes for monitoring targets and data upload. We model the MDC-CTC problem as a linear program (LP) and use it to determine the optimal schedule that maximizes the amount of data collected by the HAP. In addition, we also propose a heuristic to generate a subset of set covers for use by the LP in large-scale networks. Our results show that the amount of data collected by the HAP is proportional to the number of sensor nodes or the HAP's transmission power. Finally, using our heuristic along with the formulated LP yields results that are within 75% of the optimal result.