下一代物联网技术的最新进展和前景
Farhan Amin1, Rashid Abbasi2, Salabat Khan3
1School of Computer Science and Engineering, Yeungnam University, Gyeongsan, Republic of South Korea.
PeerJ. Computer science
|December 9, 2024
概括
本文献综述探讨了物联网 (SIoT) 的社会互联网及其与复杂网络和大数据的整合. 它通过提出提高效率和架构的协同方法来应对物联网挑战.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 数据科学数据科学数据科学
背景情况:
- 物联网 (IoT) 在效率,架构,复杂性和网络拓方面提出了挑战,需要超越传统技术的先进解决方案.
- 复杂网络理论为分析网络结构和改进技术应用提供了强大的计算工具和理论框架.
- 社交物联网 (SIoT) 是一种新兴技术,旨在克服现有的物联网局限性.
研究的目的:
- 对社会物联网 (SIoT),其应用及其技术路线图进行全面的文献审查.
- 探索复杂网络,物联网,SIoT和大数据的协同作用,以应对当前的技术挑战.
- 详细分析过去十年这些相互关联的领域的最新进展和新兴趋势.
主要方法:
- 对物联网,SIoT,复杂网络和大数据的最新进展进行了全面的文献审查.
- 分析复杂的网络概念,包括无尺度,随机和小世界网络,以及图形模型和指标.
- 探索大数据特征 (5V) 以及它们与物联网和SIoT应用的相关性.
主要成果:
- 确定了复杂网络和大数据在提高物联网和SIoT效率,架构和拓学的关键作用.
- 强调了将复杂的网络方法与SIoT和大数据集成为新型解决方案的潜力.
- 讨论了这种整合的优势和影响,包括网络物理系统 (CPS) 的进步.
结论:
- 复杂网络与物联网,SIoT和大数据的整合为克服现有技术挑战提供了一个有希望的方向.
- 在复杂的网络分析和大数据能力的支持下,SIoT代表了连接技术的重大演变.
- 本综述对于不断发展的物联网领域的研究人员和从业人员来说是一个有价值的参考.
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