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Localization and Data Collection in AUV-Aided Underwater Sensor Networks: Challenges and Opportunities

With the fast growing demand for underwater applications such as marine environmental monitoring, undersea resource exploration, disaster prevention and monitoring, assisted localization and navigation, and security monitoring, the IoUT is proposed to enable a new network framework to connect underw...

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Published in:IEEE network 2019-11, Vol.33 (6), p.86-93
Main Authors: Su, Ruoyu, Zhang, Dengyin, Li, Cheng, Gong, Zijun, Venkatesan, R., Jiang, Fan
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Language:English
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cited_by cdi_FETCH-LOGICAL-c293t-5237604e9013a92203ce7f0d6deb7c58cf65ea1a18b7017ce3763f7e44c932433
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creator Su, Ruoyu
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description With the fast growing demand for underwater applications such as marine environmental monitoring, undersea resource exploration, disaster prevention and monitoring, assisted localization and navigation, and security monitoring, the IoUT is proposed to enable a new network framework to connect underwater smart things in rivers and oceans. Conventional UWSNs are perceived as the fundamental infrastructure of IoUT. However, the high cost of underwater devices, high energy consumption of data aggregation, and low localization accuracy limit their further development. AUV brings the mobility property into network designs, which improves localization accuracy, data transmission rate, and data aggregation efficiency. However, it also brings new challenges for localization, path planning and coordination of AUVs. In this article, we briefly introduce the architecture of AUV-aided UWSNs and summarize their advantages based on the current research. Several significant issues when designing localization algorithms and coordination schemes for AUV-aided UWSNs are investigated in detail. We also analyze the main challenges under different scenarios such as the interaction between AUV and sensor nodes and communications among multiple AUVs. Based on these discussions, we conclude the article with the future research directions of AUV-aided UWSNs.
doi_str_mv 10.1109/MNET.2019.1800425
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source IEEE Electronic Library (IEL) Journals
subjects Acoustics
Agglomeration
Algorithms
Autonomous underwater vehicles
Coordination
Data collection
Data management
Data transmission
Energy consumption
Environmental monitoring
Integrated optics
Localization
Magnetoacoustic effects
Marine resources
Oceans
Optical attenuators
Optical scattering
Optical sensors
Path planning
Transmission rate (communications)
Undersea
Underwater detectors
Underwater vehicles
title Localization and Data Collection in AUV-Aided Underwater Sensor Networks: Challenges and Opportunities
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