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Using drones for communications and transportation is drawing great attentionin many practical scenarios, such as package delivery and providing additionalwireless coverage. However, the increasing demand for UAVs from industry andacademia will cause aerial traffic conflicts in the future. This, in turn,motivates the idea of this paper: multi-purpose UAVs, acting as aerial wirelessdata relays and means of aerial transportation simultaneously, to deliverpackages and data at the same time. This paper aims to analyze the feasibilityof using drones to collect and deliver data from the Internet of Things (IoT)devices to terrestrial base stations (TBSs) while delivering packages fromwarehouses to residential areas. We propose an algorithm to optimize thetrajectory of UAVs to maximize the size of collected/delivered data whileminimizing the total round trip time subject to the limited onboard battery ofUAVs. Specifically, we use tools from stochastic geometry to model thelocations of the IoT clusters and the TBSs and study the system performancewith respect to energy efficiency, average size of collected/delivered data,and package delivery time. Our numerical results reveal that multi-functionalUAVs have great potential to enhance the efficiency of both communication andtransportation networks.

Stochastic Geometry-based Analysis of Multi-Purpose UAVs for Package and Data Delivery