Technical Report for A Joint User Scheduling and Trajectory Planning Data Collection Strategy for the UAV-assisted WSN

TL;DR

This paper proposes a joint user scheduling and trajectory planning strategy for UAV-assisted wireless sensor networks to minimize data loss, formulated as a non-convex optimization problem and validated through simulations.

Contribution

It introduces a novel joint optimization approach for UAV trajectory and user scheduling to reduce data loss in large-scale WSNs.

Findings

The proposed strategy outperforms existing methods in minimizing data loss.

Simulation results demonstrate the effectiveness of the joint approach.

The problem is effectively divided into two sub-problems for solution.

Abstract

Unmanned aerial vehicles (UAVs) are usually dispatched as mobile sinks to assist data collection in large-scale wireless sensor networks (WSNs). However, when considering the limitations of UAV's mobility and communication capabilities in a large-scale WSN, some sensor nodes may run out of storage space as they fail to offload their data to the UAV for an extended period of time. To minimize the data loss caused by the above issue, a joint user scheduling and trajectory planning data collection strategy is proposed in this letter, which is formulated as a non-convex optimization problem. The problem is further divided into two sub-problems and solved sequentially. Simulation results show that the proposed strategy is more effective in minimizing data loss rate than other strategies.