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Reliable and Energy-Efficient Multipath Communications in Underwater Sensor Networks

机译:水下传感器网络中可靠且节能的多径通信

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摘要

Weak reliability and low energy efficiency are the inherent problems in Underwater Sensor Networks (USNs) characterized by the acoustic channels. Although multiple-path communications coupled by Forward Error Correction (FEC) can achieve high performance for USNs, the low probability of successful recovery of received packets in the destination node significantly affects the overall Packet Error Rate (PER) and the number of multiple paths required, which in turn becomes a critical factor for reliability and energy consumption. In this paper, a novel Multiple-path FEC approach (M-FEC) based on Hamming Coding is proposed for improving reliability and energy efficiency in USNs. A Markovian model is developed to formulate the probability of M-FEC and calculate the overall PER for the proposed decision and feedback scheme, which can reduce the number of the multiple paths and achieve the desirable overall PER in M-FEC. Compared to the existing multipath communication scheme, extensive simulation experiments show that the proposed approach achieves significantly lower packet delay while consuming only 20-30 percent of energy in multiple-path USNs with various Bit Error Rates (BER).
机译:可靠性低和能源效率低是以声学通道为特征的水下传感器网络(USN)固有的问题。尽管通过前向纠错(FEC)进行的多路径通信可以为USN实现高性能,但是在目标节点中成功恢复接收到的数据包的可能性很低,这会严重影响总体数据包错误率(PER)和所需的多路径数量,这反过来又成为可靠性和能耗的关键因素。本文提出了一种基于汉明编码的新型多径FEC方法(M-FEC),以提高USN的可靠性和能效。建立了马尔可夫模型来表达M-FEC的概率,并为所提出的决策和反馈方案计算总体PER,这可以减少多路径的数量,并在M-FEC中达到理想的总体PER。与现有的多路径通信方案相比,大量的仿真实验表明,该方法可显着降低分组延迟,同时在具有各种误码率(BER)的多路径USN中仅消耗20%至30%的能量。

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