Journal
IEEE INTERNET OF THINGS JOURNAL
Volume 9, Issue 14, Pages 11675-11684Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3131679
Keywords
Sensors; Wireless communication; Acoustics; Wireless sensor networks; Underwater acoustics; Data collection; Magnetoacoustic effects; Autonomous underwater vehicle (AUV); Internet of Underwater Things (IoUT); Underwater hybrid wireless networking; underwater magnetic induction (MI) communications
Categories
Funding
- Department of the Treasury through the State of Texas
- U.S. National Science Foundation [CNS-1801925]
- National Natural Science Foundation of China [61801080, 61971083, 51939001]
- China Postdoctoral Science Foundation [2020M680038]
- Fundamental Research Funds for the Central Universities [DUT20RC(4)007]
- Doctoral Research Initiation Fund of Liaoning Province [2019-BS-049]
- National Key Research and Development Program of China [2019YFE0111600]
- Liaoning Revitalization Talents Program [XLYC2002078]
- Dalian Science and Technology Innovation Fund [2019J11CY015]
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This article proposes a power-efficient autonomous underwater vehicle (AUV) data collection scheme in an underwater MI and acoustic hybrid sensor network, which can significantly prolong the lifespan of underwater sensor networks.
Power efficiency is a big concern in the Internet of Underwater Things (IoUT). The power consumption of underwater acoustic communications is typically in the scale of watts, which may drain the battery of underwater devices quickly. Whereas, the power consumption of underwater magnetic induction (MI) wireless communications is in the scale of milliwatt. Therefore, this article devotes to combine the underwater MI and acoustic communications to form a power-efficient underwater hybrid wireless network. Specifically, we investigate the power-efficient autonomous underwater vehicle (AUV) data collection schemes in an underwater MI and acoustic hybrid sensor network. We propose an alternating anchor nodes selection and flow routing (AANSFR) AUV data collection method, which alternately optimizes the AUV path planning and network data flow routing. The simulation results show that the proposed hybrid data collection scheme can significantly prolong the lifespan of underwater sensor networks.
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