Energy-Efficient UAV-Assisted IoT Data Collection via TSP-Based Solution Space Reduction

Sivaram Krishnan, Mahyar Nemati, Seng W. Loke, Jihong Park, Jinho Choi
Computer Science, Artificial Intelligence, Artificial Intelligence (cs.AI), Networking and Internet Architecture (cs.NI)
2023-06-01 16:00:00
This paper presents a wireless data collection framework that employs an unmanned aerial vehicle (UAV) to efficiently gather data from distributed IoT sensors deployed in a large area. Our approach takes into account the non-zero communication ranges of the sensors to optimize the flight path of the UAV, resulting in a variation of the Traveling Salesman Problem (TSP). We prove mathematically that the optimal waypoints for this TSP-variant problem are restricted to the boundaries of the sensor communication ranges, greatly reducing the solution space. Building on this finding, we develop a low-complexity UAV-assisted sensor data collection algorithm, and demonstrate its effectiveness in a selected use case where we minimize the total energy consumption of the UAV and sensors by jointly optimizing the UAV's travel distance and the sensors' communication ranges.
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