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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >A Complex Network Approach to Topology Control Problem in Underwater Acoustic Sensor Networks
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A Complex Network Approach to Topology Control Problem in Underwater Acoustic Sensor Networks

机译:水下声传感器网络中拓扑控制问题的复杂网络方法

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摘要

Underwater acoustic sensor networks (UASNs) have been developed for a set of underwater applications, including resource exploration, pollution monitoring, and tactical surveillance. Topology control techniques of UASNs are significantly different from those of terrestrial wireless sensor networks, due to the properties of underwater environments and acoustic communications. This research begins with a scale-free network model for calculating edge probability, which is used to generate initial topology randomly. Subsequently, a topology control strategy based on complex network theory (TCSCN) is put forward to construct a double clustering structure, where there are two kinds of cluster-heads to ensure connectivity and coverage, respectively. The performance of TCSCN is analyzed through simulation experiments that indicate a well-constructed topology, where (1,)-Coverage and (1, )-Connectivity can be achieved while optimizing energy consumption and propagation delay as much as possible.
机译:水下声传感器网络(UASN)已开发用于一系列水下应用,包括资源勘探,污染监测和战术监视。由于水下环境和声学通信的特性,UASN的拓扑控制技术与地面无线传感器网络的拓扑控制技术显着不同。这项研究从用于边缘概率计算的无标度网络模型开始,该模型用于随机生成初始拓扑。随后,提出了一种基于复杂网络理论的拓扑控制策略,以构建双集群结构,其中有两种集群头分别用于确保连接性和覆盖性。通过模拟实验分析了TCSCN的性能,这些实验表明拓扑结构良好,可以实现(1,)-Coverage和(1,-Connectivity),同时尽可能优化能耗和传播延迟。

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