2023
DOI: 10.1016/j.seta.2023.103116
|View full text |Cite
|
Sign up to set email alerts
|

Motion quality testing based on energy sensing data access algorithm in dynamically tunable cluster wireless sensor networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

1
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 19 publications
1
0
0
Order By: Relevance
“…However, ACO demonstrates enhanced global search capabilities, uncovering improved clustering structures in complex data spaces, as affirmed by experimental validation. This aligns with the findings of Zhao & Zhang (2023) [ 32 ], who introduced a dynamic tunable clustering strategy into a network-aware data access algorithm. Jha et al (2023) [ 29 ] introduced a two-step method for player evaluation and team selection in fantasy cricket, achieving commendable results.…”
Section: Discussionsupporting
confidence: 89%
“…However, ACO demonstrates enhanced global search capabilities, uncovering improved clustering structures in complex data spaces, as affirmed by experimental validation. This aligns with the findings of Zhao & Zhang (2023) [ 32 ], who introduced a dynamic tunable clustering strategy into a network-aware data access algorithm. Jha et al (2023) [ 29 ] introduced a two-step method for player evaluation and team selection in fantasy cricket, achieving commendable results.…”
Section: Discussionsupporting
confidence: 89%