CR-NEMS: cluster routing optimized Algorithm of Nonlinear Event Migration Strategy in Intelligent Computing

Zeyu Sun (), Yalin Nie (), Lan Lan (), Cao Zeng () and Guisheng Liao ()
Additional contact information
Zeyu Sun: Xidian University
Yalin Nie: Luoyang Institute of Science and Technology
Lan Lan: Xidian University
Cao Zeng: Xidian University
Guisheng Liao: Xidian University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 80, issue 3, No 9, 447 pages

Abstract: Abstract With the help of fog computing theory, this paper proposes Cluster Routing Optimized Algorithm of Nonlinear Event Migration Strategy, CR-NEMS. First, the fog node is used for high computing power and control ability to match and schedule sensor nodes to make them evenly distributed to achieve the purpose of network energy balance. Secondly, the intelligent algorithm is adopted to optimize the data transmission link to reduce network delays and improve transmission efficiency. Thirdly, the routing optimization is achieved through the iterative change and update strategy of controllable parameters to improve the global traversal capability of the entire network. Finally, the simulation experiment shows that the algorithm is compatible with other algorithms under the conditions of data transmission in the entire network. Compared with the network delay, network energy and network lifetime, the proposed strategy reduces by 23.49%, 13.22% and 12.17% respectively. It verifies that the algorithm in this paper effectively balances the network energy while solving the routing optimization problem and resource allocation problem in the target area.

Keywords: Fog computing; Sensor networks; Migration strategy; Optimized coverage; Network lifetime (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11235-022-00904-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:80:y:2022:i:3:d:10.1007_s11235-022-00904-3

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235

DOI: 10.1007/s11235-022-00904-3

Access Statistics for this article

Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan

More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().