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reliable data storage in Heterogeneous Wireless Sensor Networks by Jointly Optimizing Routing and storage Node Deployment

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Tsinghua Science and Technology 2021年第2期26卷 230-238页

作者： Huan Yang Feng Li Dongxiao Yu Yifei Zou Jiguo Yu College of Computer Science and Technology Qingdao UniversityQingdao 266071China School of Computer Science and Technology Shandong UniversityQingdao 266237China School of Computer Science and Technology Qilu University of Technology(Shandong Academy of Sciences)Jinan 250353China Department of Computer Science the University of Hong KongHong Kong 999077China Shandong Computer Science Center(National Supercomputer Center in Jinan) Jinan 250014China

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.

关键词： reliable data storage routing node deployment heterogeneous sensor networks

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