Height-Fixed UAV Enabled Energy-Efficient Data Collection in RIS-Aided Wireless Sensor Networks

Liu, Jianghui; Zhang, Hongtao

doi:10.1109/twc.2023.3250988

Cited by 12 publications

(1 citation statement)

References 30 publications

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“…The RIS consists of numerous adjustable reflecting elements that are able to optimize the signal propagation path and performance by dynamically adjusting the phase and amplitude of the signal through a control unit. The authors in [18,19] considered the single-antenna IoT WSN, where data need to be uploaded to the base station (BS) with the assistance of a fixed RIS deployed on the surface of fixed-height buildings and moving UAV-RIS, respectively. A growing number of researchers have also considered the presence of eavesdropping nodes and utilized the feature of the RIS to enhance the legitimate link and weaken the received signal strength of eavesdroppers for secure communication at the physical layer [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Age of Information-Inspired Data Collection and Secure Upload Assisted by the Unmanned Aerial Vehicle and Reconfigurable Intelligent Surface in Maritime Wireless Sensor Networks

Wang,

Yuan,

Pang

et al. 2024

Drones

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This paper proposes an age of information (AoI)-inspired secure transmissions strategy for secure transmission from the maritime wireless sensor network to the onshore base station (BS) with the assistance of the unmanned aerial vehicle (UAV) and reconfigurable intelligent surface (RIS), in which eavesdroppers exist near the BS. In the proposed scheme, the secure transmission process is divided into the data collection period and the data upload period according to the time sequence to minimize the age of information (AoI) for the privacy information. In the data collection period, we design two scheduling schemes by selecting the sensor with the smallest current AoI or the largest difference in the adjacent AoI. In addition, we propose two heuristic algorithms by adopting the particle swarm optimization algorithm (PSO) and genetic algorithm (GA) to solve the above two problems. In the data uploading period, the uploading time minimization problem is converted to the secrecy rate maximization problem. We design an iterative optimization algorithm with auxiliary variables that are introduced to optimize the reflection coefficient of the RIS. Simulation results show that the proposed scheme can reduce the average AoI by about 10 s compared to the current methods.

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