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An Energy Efficiency Multi-Level Transmission Strategy based on underwater multimodal communication in UWSNs

机译:UWSN中基于水下多模式通信的能效多级传输策略

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This paper discusses the data transmission strategy based on underwater multimodal communication for marine applications in underwater wireless sensor networks (UWSNs). Underwater data required by various applications have different values of information (VoIs) depending on the type and timeliness of events. These data should be transmitted in different time latency according to their VoIs to accommodate the both application requirements and network performance. Our objective is to design a multi-level transmission strategy by using underwater multimodal communication system so that multiple paths with different transmission latency and energy consumption are provided for underwater data in UWSNs. For this purpose, we first define a minimum cost flow (MCF) model for the design of transmission strategy that considers transmission latency, energy efficiency, and transfer load. Then a distributed multilevel transmission strategy EMTS is proposed based on time backoff method for large-scale UWSNs. Finally, we compared the transmission latency, energy efficiency and network lifetime obtained by our EMTS strategy to those of the optimum solution of the MCF model, and a transmission algorithm based on greedy strategy. Although the latency of EMTS is slightly higher than that of other algorithms, our average network lifetime can reach 88.7% of that of the optimum solution of the MCF model.
机译:本文讨论了用于水下无线传感器网络(UWSN)中海洋应用的基于水下多模式通信的数据传输策略。根据事件的类型和及时性,各种应用程序所需的水下数据具有不同的信息(VoI)值。这些数据应根据其VoI在不同的时间延迟中传输,以适应应用程序需求和网络性能。我们的目标是通过使用水下多模式通信系统设计一种多级传输策略,以便为UWSN中的水下数据提供具有不同传输延迟和能耗的多条路径。为此,我们首先为传输策略设计定义一个最小成本流(MCF)模型,该模型考虑了传输延迟,能效和传输负载。然后针对大型UWSN,提出了一种基于时间回退的分布式多级传输策略EMTS。最后,我们将通过EMTS策略获得的传输延迟,能效和网络寿命与MCF模型的最优解决方案以及基于贪婪策略的传输算法进行了比较。尽管EMTS的延迟略高于其他算法,但我们的平均网络寿命可以达到MCF模型最佳解决方案的88.7%。

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