Abstract
The application based on big data is an important development trend of underwater acoustic sensor networks. However, traditional underwater acoustic sensor networks rely on the hardware infrastructure. The flexibility and scalability cannot be satisfied greatly. Due to the low performance of underwater acoustic sensor networks, it creates significant barriers to the implementation of big data. Software-defined network is regarded as a new infrastructure of next-generation network. It offers a novel solution for designing underwater acoustic sensor networks of high performance. In this article, a software-defined network–based solution is proposed to build the architecture of underwater acoustic sensor networks in big data. The design procedures of the data plane and control plane are described in detail. In the data plane, the works include the hardware design of OpenFlow-based virtual switch and the design of the physical layer based on software-defined radio. The hierarchical clustering technology and the node addressing techniques for designing media access control layer are well introduced. In the control plane, exploiting the hardware of the controller and designing the core module of controllers are presented as well. Through the study, it is supposed to maximize the capacity of underwater acoustic sensor networks, reduce the management complexity, and provide critical technical support for the high-performance underwater acoustic sensor networks.
Highlights
In recent years, underwater acoustic sensor networks (UASNs) have gained much attention of applications like marine data acquisition, environmental monitoring, underwater resource survey, earthquake and tsunami monitoring, auxiliary navigation, and underwater robots.[1]
We propose an Software-defined network (SDN)-based underwater acoustic network in big data, and build the data plane and control plane
The UASNs based on SDN are composed of the data plane and the control plane, and controllers are the main equipment of the control plane
Summary
Underwater acoustic sensor networks (UASNs) have gained much attention of applications like marine data acquisition, environmental monitoring, underwater resource survey, earthquake and tsunami monitoring, auxiliary navigation, and underwater robots.[1]. It is a very acute problem to deploy various acoustic sensor networks within the duplicate water area, which leads to waste and causes serious signal interference. SDN is originated from the research project of Stanford University, and the concept was officially proposed in 2009 by Mckeown et al.[4] It implements the separation of the data plane from the control plane, builds programmable hardware infrastructure (such as OpenFlow5) through an open standardized interface, and defines the behavior and operation of network devices by a controller. SDN offers a modern solution for UASNs. With the generic protocol and service interface of OpenFlow, we implement the centralized management by setting the underwater node as a virtual switch and the surface sink node as a controller. Section ‘‘Design of the data plane’’ presents the design of the data plane in detail, section ‘‘Design of the control plane’’ elaborates the development of the control plane, and section ‘‘Conclusion’’ concludes this article
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