Fog-Cloud-IoT Enabled WSN Architecture

Remote Because of the exciting innovation it introduces, the WSN likely to be a subject of research in recent time. Because of the impromptu distant connections, adaptability, and simplicity of execution, this has all the makings of becoming the most maintainable innovation for ecological detecting, whether it's about limited or huge scope watching. In any case, the main drawbacks stem from the limited capacity, processing, and accessibility of organization centers for information. Virtual machines resources have been adopted to overcome such constraints, devices to expanded capacity, computation, and easy-to-understand availability. This was a natural progression from traditional WSN designs among pattern in recent theories evolved along advent of Internet-of-Things advancements. Against the growing popularity of WSN associated cloud checking frameworks, still the issues are detected because of the distributed comp ting's disadvantages, like dormancy with the capacity charges. In this paper, the advancements achieved to a fog-cloud-IoT associated with WSN architecture of putting a bit of computing at the network part are elaborated, a process, which follows the smart Fog associated with Cloud-computing concept of dissecting also following up on IoT data. A similar investigation was carried out to illustrate the improvements made possible by processing at the organization's edge. © 2022 IEEE.

Авторы
Anitha Christy Angelin P. , Samuel Devakumar P.V. , Al-Farhani L.H. , Kumar G.V. , Deep S. , Mohammad S.
Издательство
Institute of Electrical and Electronics Engineers Inc.
Язык
Английский
Страницы
588-595
Статус
Опубликовано
Год
2022
Организации
  • 1 PSNA College of Engineering and Technology, Tamilnadu, Dindigul, India
  • 2 Karunya Institute of Technology and Sciences, Tamilnadu, Coimbatore, India
  • 3 RUDN University, System Analysis, Control, and Information Processing Academy of Engineering, Moscow, Russian Federation
  • 4 Career Point University, Computer Science and Engineering, Rajasthan, India
  • 5 IIMT College of Management, Greater Noida, India
  • 6 IMS Unison University, Department of Law, Uttarakhand, Dehradun, India
Ключевые слова
Cluster; Fog-Computing; IoT; WSN
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