Information-Centric IoT-Based Smart Farming with Dynamic Data Optimization

作     者：Souvik Pal Hannah VijayKumar D.Akila N.Z.Jhanjhi Omar A.Darwish Fathi Amsaad 

作者机构：Department of Computer Science and EngineeringSister Nivedita UniversityKolkataIndia Post Doctoral ResearcherSambalpur UniversitySambalpurIndia Department of Computer ScienceAnna Adarsh College for WomenChennaiIndia Department of Information TechnologyVels Institute of ScienceTechnology and Advanced StudiesChennaiIndia School of Computer Science and EngineeringSCETaylor’s UniversitySubang Jaya47500SelangorMalaysia FITTaylor’s UniversitySubang Jaya47500SelangorMalaysia Department of Information Security and Applied ComputingEastern Michigan UniversityUSA School of Information Security and Applied ComputingEastern Michigan UniversityUSA 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2023年第74卷第2期

页      面：3865-3880页

核心收录：

学科分类：08[工学] 0903[农学-农业资源与环境] 0901[农学-作物学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Smart farming data optimization information management internet of things cloud 

摘      要：Smart farming has become a strategic approach of sustainable agriculture management and monitoring with the infrastructure to exploit modern technologies,including big data,the cloud,and the Internet of Things(IoT).Many researchers try to integrate IoT-based smart farming on cloud platforms *** define various frameworks on smart farming and monitoring system and still lacks to define effective data management *** IoT-cloud systems involve massive structured and unstructured data,data optimization comes into the ***,this research designs an Information-Centric IoT-based Smart Farming with Dynamic Data Optimization(ICISF-DDO),which enhances the performance of the smart farming infrastructure with minimal energy consumption and improved ***,a conceptual framework of the proposed scheme and statistical design model has beenwell *** information storage and management with DDO has been expanded individually to show the effective use of membership parameters in data *** simulation outcomes state that the proposed ICISF-DDO can surpass existing smart farming systems with a data optimization ratio of 97.71%,reliability ratio of 98.63%,a coverage ratio of 99.67%,least sensor error rate of 8.96%,and efficient energy consumption ratio of 4.84%.