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    A High-Availability Data Collection Scheme based on Multi-AUVs for Underwater Sensor Networks

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    Date
    2020-05-01
    Author
    Han, Guangjie
    Long, Xiaohan
    Zhu, Chuan
    Guizani, Mohsen
    Zhang, Wenbo
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    Abstract
    In this paper, a high-availability data collection scheme based on multiple autonomous underwater vehicles (AUVs) (HAMA) is proposed to improve the performance of the sensor network and guarantee the high availability of the data collection service. Multi-AUVs move in the network and their trajectory is predefined. The nodes near the trajectory of an AUV directly send their data to the AUV while the others transmit data to nodes that are closer to the trajectory. Malfunction discovery and repair mechanisms are applied to ensure that the network operates appropriately when an AUV fails to communicate with the nodes while collecting data. Compared with existing methods, the proposed HAMA method increases the packet delivery ratio and the network lifetime.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85083115536&origin=inward
    DOI/handle
    http://dx.doi.org/10.1109/TMC.2019.2907854
    http://hdl.handle.net/10576/37218
    Collections
    • Computer Science & Engineering [‎2482‎ items ]

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