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Title: Information fusion-based storage and retrieve algorithms for WSNs in disaster scenarios
Authors: Xiao, Zhe
Huang, Ming
Shi, Jihong
Niu, Wenwei
Yang, Jingjing
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Xiao, Z., Huang, M., Shi, J., Niu, W., & Yang, J. (2012). Information fusion-based storage and retrieve algorithms for WSNs in disaster scenarios. International journal of distributed sensor networks, 2012, 1-16.
Series/Report no.: International journal of distributed sensor networks
Abstract: Sensor networks are especially useful in catastrophic or disaster scenarios such as abysmal sea, floods, fires, or earthquakes where human participation may be too dangerous. Storage technologies take a critical position for WSNs in such scenarios since the sensor nodes may themselves fail unpredictably, resulting in the loss of valuable data. This paper focuses on fountain code-based data storage and recovery solutions for WSNs in disaster scenarios. A review on current technologies is given on challenges posed by disaster environments. Two information fusion-based distributed storage (IFDS) algorithms are proposed in the “few global knowledge” and “zero-configuration” paradigm, respectively. Correspondingly, a high-efficient retrieve algorithm is designed for general storage algorithms using Robust Soliton distribution. We observe that the successful decoding probability can be provisioned by properly selecting parameters—the ratio of number of source node and total nodes, and the storage capacity M in each node.
DOI: 10.1155/2012/524543
Rights: © 2012 The Authors. This paper was published in International journal of distributed sensor networks and is made available as an electronic reprint (preprint) with permission of the authors. The paper can be found at the following official DOI: []. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
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Fulltext Permission: open
Fulltext Availability: With Fulltext
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