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Open Access

Reliable Data Storage in Heterogeneous Wireless Sensor Networks by Jointly Optimizing Routing and Storage Node Deployment

College of Computer Science and Technology, Qingdao University, Qingdao 266071, China.
School of Computer Science and Technology, Shandong University, Qingdao 266237, China.
Department of Computer Science, the University of Hong Kong, Hong Kong 999077, China.
School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China
Shandong Computer Science Center (National Supercomputer Center in Jinan), Jinan 250014, China.
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Abstract

In the era of big data, sensor networks have been pervasively deployed, producing a large amount of data for various applications. However, because sensor networks are usually placed in hostile environments, managing the huge volume of data is a very challenging issue. In this study, we mainly focus on the data storage reliability problem in heterogeneous wireless sensor networks where robust storage nodes are deployed in sensor networks and data redundancy is utilized through coding techniques. To minimize data delivery and data storage costs, we design an algorithm to jointly optimize data routing and storage node deployment. The problem can be formulated as a binary nonlinear combinatorial optimization problem, and due to its NP-hardness, designing approximation algorithms is highly nontrivial. By leveraging the Markov approximation framework, we elaborately design an efficient algorithm driven by a continuous-time Markov chain to schedule the deployment of the storage node and corresponding routing strategy. We also perform extensive simulations to verify the efficacy of our algorithm.

Keywords

reliable data storageroutingnode deploymentheterogeneous sensor networks

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Tsinghua Science and Technology
Volume 26 Issue 2,
April 2021
Pages 230-238
DOI: 10.26599/TST.2019.9010061
Cite this article:
Yang H, Li F, Yu D, et al. Reliable Data Storage in Heterogeneous Wireless Sensor Networks by Jointly Optimizing Routing and Storage Node Deployment. Tsinghua Science and Technology, 2021, 26(2): 230-238. https://doi.org/10.26599/TST.2019.9010061

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Received: 26 November 2019
Accepted: 06 December 2019
Published: 24 July 2020
© The author(s) 2021.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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