Centralized two tier clustering method for wireless sensor networks based on a coupled cascaded fuzzy system
Antonio Jesus Yuste-Delgado, Alicia Triviño, David Diaz-Jimenez, Juan Carlos Cuevas-Martinez · 2025
Read Centralized two tier clustering method for wireless sensor networks based on a coupled cascaded fuzzy system by Antonio Jesus Yuste-Delgado, Alicia Triviño, David Diaz-Jimenez, Juan Carlos Cuevas-Martinez (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12804679.txt.
Description
Antonio Yuste-Delgado and co-authors present a 2025 method to group wireless sensors so their batteries last. Sensor nets feed internet of things apps, but most nodes run on small batteries. Grouping nodes under heads that relay data can stretch the net's life, if the heads are picked well.
Their central scheme builds two tiers: cluster heads, then super heads above them. A first filter drops nodes with low charge from head duty. A two stage fuzzy system then grades the rest on energy and other traits to pick heads, and grades heads again to pick super heads. The fuzzy logic is coupled in cascade, so stage one feeds stage two. The aim is an even drain across the whole net.
Catalog record
| CREATOR | Antonio Jesus Yuste-Delgado, Alicia Triviño, David Diaz-Jimenez, Juan Carlos Cuevas-Martinez |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 78 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |