Internode Distance-Based Redundancy Reliable Transport in Underwater Sensor Networks

Internode Distance-Based Redundancy Reliable Transport in Underwater Sensor Networks
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水下传感器网络中基于节点间距离的冗余可靠传输

DOI:
10.1155/2010/358071
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发表时间:
2010-04
影响因子:
2.6
通讯作者:
Hongyang Chen
Hongyang Chen
中科院分区:
计算机科学4区
文献类型:
--
作者:
Kaoru Sezaki;Xianfu Lei;Bin Liu;Fengyuan Ren;Hongyang Chen

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水下通信是一个极具挑战性的课题。陆地传感器网络中使用的协议不能直接应用于水下世界。高误码率和大的传输延迟使得传输协议的设计变得尤为困难。基于ARQ的可靠传输方案不适合于水下环境,由于大的传播延迟,低的通信带宽,和高的错误概率。因此,本文重点研究基于冗余的传输方案。我们首先调查三种方案,采用冗余机制,在比特和/或数据包级别,以增加在直接链路的情况下的可靠性。然后,我们表明,水下信道的广播属性,使我们能够扩展这些计划的情况下与节点合作通信。在此基础上,提出了一种适用于水下传感器网络的自适应冗余传输协议(ARRTP)。我们建议一个架构的实施。对于两种拓扑结构,即,定期和随机,我们表明,ARRTP提出了一个更好的传输成功概率和能源效率的权衡单跳和多跳传输。我们还提供了一个综合的案例研究表明,ARRTP不仅是提供可靠性,但也有一些积极的作用,指导部署的水下传感器节点。
Underwater communication is a very challenging topic. Protocols used in terrestrial sensor networks cannot be directly applied in the underwater world. High-bit error rate and large propagation delay make the design of transport protocols especially awkward. ARQ-based reliable transport schemes are not appropriate in underwater environments due to large propagation delay, low communication bandwidth, and high error probability. Thus, we focus on redundancy-based transport schemes in this paper. We first investigate three schemes that employ redundancy mechanisms at the bit and/or packet level to increase the reliability in a direct link scenario. Then, we show that the broadcast property of the underwater channel allows us to extend those schemes to a case with node cooperative communication. Based on our analysis, an adaptive redundancy transport protocol (ARRTP) for underwater sensor networks is proposed. We suggest an architecture for implementation. For two kinds of topologies, namely, regular and random, we show that ARRTP presents a better transmission success probability and energy efficiency tradeoff for single- and multihop transmissions. We also offer an integrated case study to show that ARRTP is not only supplying reliability but also has some positive effect in guiding the deployment of underwater sensor nodes.
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