MPSARB:通过可重构区块链设计具有安全农业记录存储模型的高效多作物模式预测系统

3区 计算机科学 Q1 Computer Science
Deepali Jawale, Sandeep Malik
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引用次数: 0

摘要

智能农业因其简单、易于部署、效率高和开销低,已成为最受农民欢迎的技术之一。但是,由于智能农业产生的数据呈指数级增长,因此有必要设计可扩展到多个农场的安全存储接口。现有的存储模型要么展示了高安全性,要么展示了高存储效率,但只有极少数模型同时增强了这两个参数集。这些模型非常复杂,应用于大规模场景时会降低可扩展性。为了克服这些局限性,本文提出通过可重构区块链设计一种高效、安全的农业复种存储模型。建议的模型最初通过二进制级联卷积神经网络(BC CNN)使用多作物模式预测系统,并部署基于信任证明(PoT)的单链区块链,该区块链根据农场的具体情况进行调整。预测是通过天气条件和土壤类型进行的。这有助于识别不同的作物类型,选择高信任度的矿工节点,从而在通信和存储操作过程中保护隐私。随着区块链的扩展,部署了基于灰狼优化(GWO)的模型,该模型有助于将底层链拆分成多个侧链。这种拆分是基于 QoS 和安全优化完成的,而 QoS 和安全优化是通过不同农场类型下的时间矿工性能估算出来的。GWO 模型还有助于估算长期和大容量存储链,可用于存档操作。因此,所提出的模型能够将采矿速度提高 9.4%,同时将不同采矿作业的能耗降低 3.5%。该模型还为不同碎片定义了索引策略,有助于将长期数据集的数据访问速度提高 12.8%。由于这些改进,所提出的模型能够部署到大规模场景中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

MPSARB: design of an efficient multiple crop pattern prediction system with secure agriculture-record-storage model via reconfigurable blockchains

MPSARB: design of an efficient multiple crop pattern prediction system with secure agriculture-record-storage model via reconfigurable blockchains

Smart agriculture has become one of the most popular technologies for farmers due to its simplicity, ease of deployment, high efficiency, and low overheads. But due to an exponential increase in smart-farming data generation, it is necessary to design secure storage interfaces, that can be scaled for multiple farms. Existing storage models either showcase high security, or high storage efficiency, but a very few models enhance both these parameter sets. Such models are highly complex, and reduce the scalability when applied to large-scale scenarios. To overcome these limitations, this text proposes design of a highly efficient and secure agriculture-record-storage model via reconfigurable blockchains. The proposed model initially uses a multiple crop pattern prediction system via Binary Cascaded Convolutional Neural Network (BC CNN), and deploys a single chained Proof-of-Trust (PoT) based blockchain, that is tuned w.r.t. context of the farms. The prediction is done via weather conditions and soil types. This assists in identification of different crop types, and selection of high trust miner nodes, that can preserve privacy during communication and storage operations. As the blockchain is scaled, a Grey Wolf Optimization (GWO) based model is deployed, which assists in splitting the underlying chain into multiple sidechains. This split is done based on QoS and Security optimizations, which is estimated via temporal miner performance under different farm types. The GWO Model also assists in estimating long-term and high-capacity storage chains, which can be used for archival operations. Due to which, the proposed model is able to improve mining speed by 9.4%, while reducing the energy consumption by 3.5% for different mining operations. The model also defines an indexing strategy for different shards, which assists in increasing data access speed by 12.8% for long-term data sets. Due to these enhancements, the proposed model is capable of deployment for large-scale scenarios.

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来源期刊
Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
9.60
自引率
0.00%
发文量
854
期刊介绍: The purpose of JAIHC is to provide a high profile, leading edge forum for academics, industrial professionals, educators and policy makers involved in the field to contribute, to disseminate the most innovative researches and developments of all aspects of ambient intelligence and humanized computing, such as intelligent/smart objects, environments/spaces, and systems. The journal discusses various technical, safety, personal, social, physical, political, artistic and economic issues. The research topics covered by the journal are (but not limited to): Pervasive/Ubiquitous Computing and Applications Cognitive wireless sensor network Embedded Systems and Software Mobile Computing and Wireless Communications Next Generation Multimedia Systems Security, Privacy and Trust Service and Semantic Computing Advanced Networking Architectures Dependable, Reliable and Autonomic Computing Embedded Smart Agents Context awareness, social sensing and inference Multi modal interaction design Ergonomics and product prototyping Intelligent and self-organizing transportation networks & services Healthcare Systems Virtual Humans & Virtual Worlds Wearables sensors and actuators
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