AoI-Sensitive Data Forwarding with Distributed Beamforming in UAV-Assisted IoT

• URL: http://arxiv.org/abs/2502.09038v1
• Date: Thu, 13 Feb 2025 07:48:36 GMT
• Title: AoI-Sensitive Data Forwarding with Distributed Beamforming in UAV-Assisted IoT
• Authors: Zifan Lang, Guixia Liu, Geng Sun, Jiahui Li, Zemin Sun, Jiacheng Wang, Victor C. M. Leung,
• Abstract summary: This paper proposes a UAV-assisted system based on distributed beamforming to enhance age forwarding information (AoI) in Internet of Things (IoT) We propose a deep reinforcement learning (DRL)-based algorithm to solve the problem, thereby enhancing stability and accelerate convergence.
• Score: 32.6091251316091
• License:
• Abstract: This paper proposes a UAV-assisted forwarding system based on distributed beamforming to enhance age of information (AoI) in Internet of Things (IoT). Specifically, UAVs collect and relay data between sensor nodes (SNs) and the remote base station (BS). However, flight delays increase the AoI and degrade the network performance. To mitigate this, we adopt distributed beamforming to extend the communication range, reduce the flight frequency and ensure the continuous data relay and efficient energy utilization. Then, we formulate an optimization problem to minimize AoI and UAV energy consumption, by jointly optimizing the UAV trajectories and communication schedules. The problem is non-convex and with high dynamic, and thus we propose a deep reinforcement learning (DRL)-based algorithm to solve the problem, thereby enhancing the stability and accelerate convergence speed. Simulation results show that the proposed algorithm effectively addresses the problem and outperforms other benchmark algorithms.

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