利用物联网和云计算提升智慧城市:关于整合无线 Ad Hoc 网络实现高效通信的研究

IF 1.2 Q3 MULTIDISCIPLINARY SCIENCES Baghdad Science Journal Pub Date : 2023-12-05 DOI:10.21123/bsj.2023.9277
H. M. Abdulhadi, Y. A. A. S. Aldeen, Maryam A. Yousif, Mays jalal Jaseem, Syed Hamid Hussain Madni
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引用次数: 0

摘要

智慧城市最近经历了一场根本性的演变,极大地增加了它们的潜力。实际上,物联网(IoT)的最新进展通过解决一些关键问题创造了新的机会,这些问题使智慧城市能够创新,并为许多城市合作伙伴创建和计算机化尖端服务和应用程序。为了进一步推动智慧城市向共享和连接的方向发展,本研究将探讨物联网(IoT)和云计算(CC)在智慧城市中的信息创新。物联网数据首先是在智慧城市的背景下收集的。收集的数据是统一的。物联网(Internet of Things)是一种无需人工干预就能让设备相互连接的技术,它是由人工智能实现的。因此,采用Ad Hoc Routing Function (ARF) AI计算进行多规则简化,建议采用自适应云计算虚拟机资产分配技术(ACC-VMRA)。为了确认其可行性,对物联网和CC在智慧城市中的应用发展进行了检查和复制。实验结果表明,所推荐的增强计算比目前使用的其他方法效率更高。
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Enhancing Smart Cities with IoT and Cloud Computing: A Study on Integrating Wireless Ad Hoc Networks for Efficient Communication
Smart cities have recently undergone a fundamental evolution that has greatly increased their potentials. In reality, recent advances in the Internet of Things (IoT) have created new opportunities by solving a number of critical issues that are allowing innovations for smart cities as well as the creation and computerization of cutting-edge services and applications for the many city partners. In order to further the development of smart cities toward compelling sharing and connection, this study will explore the information innovation in smart cities in light of the Internet of Things (IoT) and cloud computing (CC). IoT data is first collected in the context of smart cities. The data that is gathered is uniform. The Internet of Things, which enables gadgets to connect with one another mostly without human involvement, is made possible by AI. In line with this, The Ad Hoc Routing Function (ARF) AI computation is used for multi-rule simplification, the use of Adaptive Cloud Computing Virtual Machine Asset Allotment Technique (ACC-VMRA) is advised. To confirm its viability, the applied developments of IoT and CC in smart cities is examined and duplicated. The experiment results show that the recommended enhancement calculation is more productive than other currently used methods.
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来源期刊
Baghdad Science Journal
Baghdad Science Journal MULTIDISCIPLINARY SCIENCES-
CiteScore
2.00
自引率
50.00%
发文量
102
审稿时长
24 weeks
期刊介绍: The journal publishes academic and applied papers dealing with recent topics and scientific concepts. Papers considered for publication in biology, chemistry, computer sciences, physics, and mathematics. Accepted papers will be freely downloaded by professors, researchers, instructors, students, and interested workers. ( Open Access) Published Papers are registered and indexed in the universal libraries.
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