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Distributed Data Storage Systems for Data Survivability in Wireless Sensor Networks using Decentralized Erasure Codes

机译:使用分散式擦除码在无线传感器网络中实现数据生存能力的分布式数据存储系统

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Achieving reliability in Wireless Sensor Networks (WSNs) is challenging due to the limited resources available. In this study, we investigate the design of data survivability schemes using decentralized storage systems in WSNs. We propose a data storage system design based on Decentralized Erasure Codes (DEC) that features a simple and decentralized construction of the target code. The proposed framework allows sensor nodes to cooperate to build an erasure code-based storage that can tolerate a given failure/erasure rate. Code construction and decoding can both be performed randomly allowing for a distributed operation with no prior setup or coordination between source nodes. Further, we present two approaches that utilize Random Linear Network Coding (RLNC) to enhance the proposed scheme in order to achieve energy efficiency. We present the theoretical basis of the schemes then validate and evaluate their performance through simulations. (C) 2016 Elsevier B.V. All rights reserved.
机译:由于可用资源有限,在无线传感器网络(WSN)中实现可靠性具有挑战性。在这项研究中,我们调查了WSN中使用分散存储系统的数据可生存性方案的设计。我们提出了一种基于分散式擦除码(DEC)的数据存储系统设计,该设计具有目标代码的简单且分散的构造。所提出的框架允许传感器节点协作以构建基于容错码的存储,该存储可以容忍给定的故障/容错率。代码构建和解码都可以随机执行,从而无需源节点之间的事先设置或协调即可进行分布式操作。此外,我们提出了两种利用随机线性网络编码(RLNC)来增强建议方案以实现能源效率的方法。我们提出方案的理论基础,然后通过仿真验证和评估其性能。 (C)2016 Elsevier B.V.保留所有权利。

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