Journal
IEEE ACCESS
Volume 7, Issue -, Pages 121742-121754Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2937832
Keywords
Underwater acoustic sensor networks (UASNs); clustering algorithm; software defined networking (SDN); software-defined UASN (SD-UASN); OpenFlow
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Funding
- National Natural Science Foundation of China [61502149, 31371525]
- Key Scientific and Technological Project of Henan Province [172102210267, 162102210295]
- Key Scientific Research Projects of Henan Higher Education Institution [20A520002]
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Underwater acoustic sensor networks (UASNs) are important technical means to explore the ocean realm. Clustering is a crucial strategy which determines the performance and the lifetime of UASNs significantly. As a technological innovation, software defined networking (SDN) separates the data plane from the control plane to build a programmable network infrastructure. This paper presents a clustering mechanism based on SDN. Firstly, we introduce the architecture of software-defined UASN named SD-UASN. Secondly, we investigate hardware models of the underwater node and the surface controller. Thirdly, we define the communication procedure of SD-UASN, and implement the clustering mechanism. Finally, we perform simulations to verify the effectiveness of the proposed mechanism. The results reveal that a tradeoff of multiple constraints is achieved, and the performance of the clustering mechanism can be enhanced greatly. This work provides essential theoretical and technical support for software-defined UASNs.
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