Collision-Free 3-D Navigation of a UAV Team for Optimal Data Collection in Internet-of-Things Networks With Reconfigurable Intelligent Surfaces

Article Computer Science, Information Systems

Joint Multi-UAV Path Planning and LoS Communication for Mobile-Edge Computing in IoT Networks With RISs

Andrey V. V. Savkin et al.

Summary: This article proposes a joint path planning and communication scheduling problem for a team of unmanned aerial vehicles (UAVs) performing computing tasks for IoT devices on uneven terrain. Reconfigurable intelligent surfaces (RISs) are deployed to improve wireless communication between UAVs and IoT devices. The objective is to develop an algorithm that maximizes computing tasks performed by the UAVs and minimizes their energy consumption. An effective path planning algorithm is proposed and its asymptotic optimality is mathematically proven.

IEEE INTERNET OF THINGS JOURNAL (2023)

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Article Telecommunications

Joint Trajectory Design and Resource Allocation for IRS-Assisted UAV Communications With Wireless Energy Harvesting

Zhixin Liu et al.

Summary: In this letter, a novel intelligent reflecting surface (IRS)-assisted unmanned aerial vehicle (UAV) communication system is presented. The system enables self-sustainable operations for both the IRS and ground users (GUs) through energy harvesting (EH) technique. The proposed algorithm optimizes the IRS's phase-shift, transmit power and time allocation of GUs, and trajectory of the UAV to maximize the system's sum-rate. Numerical results demonstrate significant performance gains over the benchmarks.

IEEE COMMUNICATIONS LETTERS (2022)

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Article Computer Science, Information Systems

Deployment of Heterogeneous UAV Base Stations for Optimal Quality of Coverage

Hailong Huang et al.

Summary: This article studies the quality of coverage of deploying flying base stations mounted on unmanned aerial vehicles (UAV-BSs) after disasters or during some occasional events. The authors propose a decentralized deployment algorithm for a Line-of-Sight (LoS) scenario and discuss its application in Non-LoS (NLoS) scenarios. Computer simulations and comparisons with a benchmark method confirm the effectiveness of the proposed algorithms in terms of the quality of coverage.

IEEE INTERNET OF THINGS JOURNAL (2022)

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Article Computer Science, Information Systems

Continuous Maneuver Control and Data Capture Scheduling of Autonomous Drone in Wireless Sensor Networks

Kai Li et al.

Summary: This paper proposes a new deep deterministic policy gradient based maneuver control scheme to minimize data packet loss in drone-assisted sensor networks. The scheme involves training the drone's instantaneous headings and patrol velocities, as well as selecting ground sensors for data collection in a continuous action space. Experimental results show significant reductions in packet loss rate compared to other flight control and scheduling policies.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2022)

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Article Computer Science, Information Systems

Joint Resource Allocation and UAV Trajectory Optimization for Space-Air-Ground Internet of Remote Things Networks

Ying Wang et al.

Summary: In this article, a SAG-IoRT framework is proposed where drones act as relays to upload data from smart devices to low earth orbit satellites, addressing the challenge of uplink data transmission in IoRT networks. By jointly optimizing smart devices connection scheduling, power control, and UAV trajectory design to maximize system capacity, an efficient iterative algorithm is introduced. The proposed algorithm substantially improves system capacity compared to static UAV schemes, achieving at least a 22.3% gain in capacity against dynamic UAV schemes with circular trajectories.

IEEE SYSTEMS JOURNAL (2021)

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Article Engineering, Electrical & Electronic

Navigation of a UAV Team for Collaborative Eavesdropping on Multiple Ground Transmitters

Hailong Huang et al.

Summary: This paper discusses using UAVs to covertly eavesdrop on suspicious wireless transmitters on the ground, proposing a new measure for quantifying the UAVs' disguising performance and developing a randomized method based on RRT for trajectory planning. Computer simulations show that this method outperforms random movement in eavesdropping performance while maintaining comparable disguising performance.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

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Article Engineering, Electrical & Electronic