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author:

Liu, Peng (Liu, Peng.) [1] | Zhao, Yisheng (Zhao, Yisheng.) [2] (Scholars:赵宜升) | Hu, Zhiyi (Hu, Zhiyi.) [3] | Song, Chaohua (Song, Chaohua.) [4] | Li, Tengteng (Li, Tengteng.) [5]

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EI Scopus

Abstract:

Traditional underwater wireless communication in single medium has the limitations of low rate and high delay. In this paper, magnetic induction (MI)-based cross-medium communication is taken into account to reduce the transmission delay. Specifically, multiple autonomous underwater vehicles are used to collect data from underwater sensor nodes by MI communication. The collected data is directly transferred to a unmanned aerial vehicle above the water via ultra-low frequency MI communication. The cross-medium data collection and transmission problem is formulated an optimization problem. The objective is to minimize the total delay under the constraints of transmitting power, transmission distance, and number of turns of MI coil. A standard particle swarm optimization (SPSO) algorithm and a quantum-behaved particle swarm optimization (QPSO) algorithm are adopted to obtain the suboptimal solution, respectively. Simulation results show that the QPSO algorithm is superior to the SPSO algorithm in reducing the total delay. © 2024 IEEE.

Keyword:

Aircraft communication Autonomous underwater vehicles Inductive power transmission Magnetic levitation vehicles Particle swarm optimization (PSO) Sensor nodes Unmanned aerial vehicles (UAV)

Community:

  • [ 1 ] [Liu, Peng]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Zhao, Yisheng]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 3 ] [Hu, Zhiyi]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [Song, Chaohua]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 5 ] [Li, Tengteng]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China

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ISSN: 1550-2252

Year: 2024

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 3

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