SDRT: A reliable data transport protocol for underwater sensor networks
SDRT: A reliable data transport protocol for underwater sensor networks
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DOI：
10.1016/j.adhoc.2010.02.003
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发表时间：
2010-09-01
期刊：
影响因子：
4.8
通讯作者：
Shi, Zhijie
中科院分区：
文献类型：
--
作者：
Xie, Peng;Zhou, Zhong;Shi, Zhijie
本文研究了水下传感器网络中的可靠数据传输问题。水下传感器网络与陆地传感器网络有两个显著的不同：水声信道用于通信和大多数传感器节点由于水流的影响而具有移动的性。这些特点使得水下传感器网络具有可用带宽低、传输时延大、网络拓扑动态性强、出错概率高等特点，这对水下传感器网络的可靠数据传输提出了许多新的挑战。在本文中，我们提出了一个协议，称为分段数据可靠传输（SDRT），以实现可靠的数据传输在水下传感器网络的场景。SDRT本质上是ARQ和FEC的混合方法。它采用高效的纠删码，逐块逐跳地传输编码数据包。与传统的可靠数据传输协议相比，SDRT可以显著减少传输数据包的总数，提高信道利用率，简化协议管理。此外，我们还建立了一个数学模型来估计SDRT中SVT码实际所需的期望数据包数。基于此模型，我们设计了一种新的窗口控制机制，以进一步减少由声学信道的大传播延迟引入的能量消耗。此外，该模型使我们能够设置适当的块大小，以解决网络中节点的移动性。我们进行模拟来评估我们的模型和SDRT。结果表明，我们的模型可以密切预测实际需要的数据包的数量，SDRT是能量有效的，可以实现高信道利用率。(C)2010爱思唯尔有限公司版权所有。
In this paper, we investigate the reliable data transfer problem in underwater sensor networks. Underwater sensor networks are significantly different from terrestrial sensor networks in two aspects: acoustic channels are used for communications and most sensor nodes are mobile due to water current. These distinctions feature underwater sensor networks with low available bandwidth, large propagation delay, highly dynamic network topology, and high error probability, which pose many new challenges for reliable data transfer in underwater sensor networks. In this paper, we propose a protocol, called segmented data reliable transfer (SDRT), to achieve reliable data transfer in underwater sensor network scenarios. SDRT is essentially a hybrid approach of ARQ and FEC. It adopts efficient erasure codes, transferring encoded packets block by block and hop-by-hop. Compared with traditional reliable data transfer protocols, SDRT can reduce the total number of transmitted packets significantly, improve channel utilization, and simplify protocol management. In addition, we develop a mathematic model to estimate the expected number of packets actually needed in SDRT with SVT codes. Based on this model, we devise a new window control mechanism to further reduce energy consumption which is introduced by large propagation delay of acoustic channels. Moreover, this model enables us to set the appropriate size of the block to address the mobility of the nodes in the network. We conduct simulations to evaluate our model and SDRT. The results show that our model can closely predict the number of packets actually needed, and SDRT is energy efficient, and can achieve high channel utilization. (C) 2010 Elsevier B.V. All rights reserved.