Integrated Sensing, Communication, Edge Computing, and Energy Harvesting for UAV-Assisted IoT Networks

Abstract

The Internet of Things (IoT) is rapidly expanding across various sectors, including industry, national security, smart transportation, healthcare, and environmental management. In this paper, we propose an IoT system model that leverages unmanned aerial vehicles (UAVs) equipped with edge computing servers. This model supports multiple IoT devices through an integrated sensing, communication, and computing (ISCC) mechanism. To facilitate data processing for these IoT devices, we introduce a combined time-splitting radio energy harvesting mechanism and a partial offloading strategy. Specifically, we utilize both radio energy harvesting and simultaneous sensing. Subsequently, we derive exact closedform expression for the probability of successful sensing and computing, drawing upon the statistical characteristics of the wireless channel. Furthermore, we investigate the impact of several key parameters on system performance, such as
transmission power, the number of IoT devices, data dividing ratio, data length, UAV altitude, bandwidth, duty cycle and pulse duration of radar signal. Finally, our analytical results are rigorously verified through Monte-Carlo computer simulations.