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.

Authors
Anitha Christy Angelin P. , Samuel Devakumar P.V. , Al-Farhani L.H. , Kumar G.V. , Deep S. , Mohammad S.
Publisher
Institute of Electrical and Electronics Engineers Inc.
Language
English
Pages
588-595
State
Published
Year
2022
Organizations
  • 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
Keywords
Cluster; Fog-Computing; IoT; WSN
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