K-Storage-Node Problem of Distributed Data Storage for Internet of Things

Guo Jian; Sun Lijuan; Han Chong; Liu Ling

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K-Storage-Node Problem of Distributed Data Storage for Internet of Things

机译：物联网的分布式数据存储的K-存储节点问题

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Ubiquitous sensing enabled by wireless sensor network results in increasingly large amounts of sensor data. Effective data storage and query are effective means of dealing with this issue, and distributed storage technology is a focus in the current research. This paper focuses on the issue of storage node selection, and discusses how to select k nodes as storage nodes when the data generating speed of nodes are different. This problem is formulated as a k-storage-node problem in this paper and proven to be NP-hard, then three distributed storage schemes are proposed; random strategy based data storage scheme (RDS), reverse greedy strategy based data storage scheme (GDS), and SQGA (small world model based quantum genetic algorithm) based data storage scheme (SDS). Simulation results showed that GDS and SDS had better performance than RDS in the network lifecycle, energy consumption, storage delay and query delay. Furthermore, taking the balance of node energy consumption into account, SDS performed better.

机译：无线传感器网络实现的无处不在的感应导致越来越多的传感器数据。有效的数据存储和查询是解决此问题的有效手段，而分布式存储技术是当前研究的重点。本文着眼于存储节点选择的问题，并讨论了当节点的数据生成速度不同时如何选择k个节点作为存储节点。本文将该问题表述为k-存储节点问题，证明是NP难的，然后提出了三种分布式存储方案。基于随机策略的数据存储方案（RDS），基于反向贪婪策略的数据存储方案（GDS）和基于SQGA（基于小世界模型的量子遗传算法）的数据存储方案（SDS）。仿真结果表明，在网络生命周期，能耗，存储时延和查询时延方面，GDS和SDS的性能均优于RDS。此外，考虑到节点能耗的平衡，SDS的性能更好。

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《Intelligent automation and soft computing》 |2017年第4期|573-580|共8页
作者
Guo Jian; Sun Lijuan; Han Chong; Liu Ling;
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作者单位

Nanjing Univ Posts & Telecommun, Coll Comp, Nanjing, Jiangsu, Peoples R China|Nanjing Univ Posts & Telecommun, Jiangsu High Technol Res Key Lab Wireless Sensor, Nanjing, Jiangsu, Peoples R China;

Nanjing Univ Posts & Telecommun, Coll Comp, Nanjing, Jiangsu, Peoples R China|Nanjing Univ Posts & Telecommun, Jiangsu High Technol Res Key Lab Wireless Sensor, Nanjing, Jiangsu, Peoples R China;

Nanjing Univ Posts & Telecommun, Coll Comp, Nanjing, Jiangsu, Peoples R China|Nanjing Univ Posts & Telecommun, Jiangsu High Technol Res Key Lab Wireless Sensor, Nanjing, Jiangsu, Peoples R China;

Nanjing Univ Posts & Telecommun, Coll Comp, Nanjing, Jiangsu, Peoples R China|Nanjing Univ Posts & Telecommun, Jiangsu High Technol Res Key Lab Wireless Sensor, Nanjing, Jiangsu, Peoples R China;

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正文语种 eng
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关键词
Data storage; wireless sensor network; big data; k-storage-node problem; internet of things;

机译：数据存储;无线传感器网络;大数据;k-存储节点问题;物联网;

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机译：无线互联网环境下大数据处理中分布式数据存储有效技术的案例研究
2. A real-time distributed cluster storage optimization for massive data in internet of multimedia things [J] . Zhan Yanning, Liu Shuai Multimedia Tools and Applications . 2019,第5期

机译：多媒体物联网中海量数据的实时分布式集群存储优化
3. AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security [J] . Nikolay Chervyakov, Mikhail Babenko, Andrei Tchernykh, Future generation computer systems . 2019,第MARa期

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4. Degraded Read Coding Scheme in Heterogeneous Distributed Cloud Storage System for Internet of Things Data [C] . Xianfan Sun, Shushi Gu, Ye Wang, IEEE Vehicular Technology Conference . 2020

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5. Semantic distributed database management with applications to the Internet dissemination of environmental data [D] . Graham, Scott C. 2004

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6. Distributed Data Service for Data Management in Internet of Things Middleware [O] . Ruben Cruz Huacarpuma, Rafael Timoteo de Sousa Junior, Maristela Terto de Holanda, 2017

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K-Storage-Node Problem of Distributed Data Storage for Internet of Things

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