Xiaohua Wu , Jinqian Jiang , Xiaoyu Li , Jun Cheng , Tao Meng
{"title":"Hierarchical classified storage and incentive consensus scheme for building IoT under blockchain","authors":"Xiaohua Wu , Jinqian Jiang , Xiaoyu Li , Jun Cheng , Tao Meng","doi":"10.1016/j.jksuci.2024.102075","DOIUrl":null,"url":null,"abstract":"<div><p>With the advancements of IoT and blockchain, a novel era has emerged in the domain of smart building systems. At the same time, it also brings some problems and challenges. Most traditional solutions typically utilize the fully-replicated storage strategy that results in high storage costs, while recent solutions like coded blockchain may compromise query efficiency. Moreover, traditional reputation-based consensus schemes do not consider dynamic situations, limiting scalability. To handle these problems, we propose a novel hierarchical message aggregation scheme and a classified storage method under Reed–Solomon (RS) coding to minimize storage overhead while ensuring data recoverability and query performance. Additionally, we introduce a dynamic incentive reputation consensus mechanism to tackle scalability challenges such as preventing node monopolies, promoting new node integration, and enhancing fault tolerance. Through theoretical analysis and experimental simulation, the proposed scheme demonstrates a high degree of decentralization and scalability. Our scheme achieves a 20% reduction in the Gini coefficient compared to other approaches. Furthermore, our scheme can save <span><math><mfrac><mrow><mn>1</mn></mrow><mrow><mn>9</mn></mrow></mfrac></math></span> of storage overhead compared to traditional solutions while maintaining high query performance.</p></div>","PeriodicalId":48547,"journal":{"name":"Journal of King Saud University-Computer and Information Sciences","volume":null,"pages":null},"PeriodicalIF":5.2000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1319157824001642/pdfft?md5=add4298d76d4f1f8ccfe23321cd101f3&pid=1-s2.0-S1319157824001642-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of King Saud University-Computer and Information Sciences","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1319157824001642","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
With the advancements of IoT and blockchain, a novel era has emerged in the domain of smart building systems. At the same time, it also brings some problems and challenges. Most traditional solutions typically utilize the fully-replicated storage strategy that results in high storage costs, while recent solutions like coded blockchain may compromise query efficiency. Moreover, traditional reputation-based consensus schemes do not consider dynamic situations, limiting scalability. To handle these problems, we propose a novel hierarchical message aggregation scheme and a classified storage method under Reed–Solomon (RS) coding to minimize storage overhead while ensuring data recoverability and query performance. Additionally, we introduce a dynamic incentive reputation consensus mechanism to tackle scalability challenges such as preventing node monopolies, promoting new node integration, and enhancing fault tolerance. Through theoretical analysis and experimental simulation, the proposed scheme demonstrates a high degree of decentralization and scalability. Our scheme achieves a 20% reduction in the Gini coefficient compared to other approaches. Furthermore, our scheme can save of storage overhead compared to traditional solutions while maintaining high query performance.
期刊介绍:
In 2022 the Journal of King Saud University - Computer and Information Sciences will become an author paid open access journal. Authors who submit their manuscript after October 31st 2021 will be asked to pay an Article Processing Charge (APC) after acceptance of their paper to make their work immediately, permanently, and freely accessible to all. The Journal of King Saud University Computer and Information Sciences is a refereed, international journal that covers all aspects of both foundations of computer and its practical applications.