Abstract
This paper addresses a weighted dynamic localized clustering unique to a hierarchical sensor network structure, while reducing the energy consumption of cluster heads and as a result prolonging the network lifetime. Low-Energy Localized Clustering, our previous work, dynamically regulates the radii of clusters to minimize energy consumption of cluster heads while the network field is being covered. We present weighted Low-Energy Localized Clustering (ω-LLC), which consumes less energy than LLC with weight functions.
| Original language | English |
|---|---|
| Pages (from-to) | 1162-1165 |
| Number of pages | 4 |
| Journal | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
| Volume | 3614 |
| Issue number | PART II |
| DOIs | |
| Publication status | Published - 2005 |
| Event | Second International Confernce on Fuzzy Systems and Knowledge Discovery, FSKD 2005 - Changsha, China Duration: 2005 Aug 27 → 2005 Aug 29 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
