Relay-Assisted Wireless Sensor Networks Using KNN-DBSCAN Static Clustering
Wireless sensor networks (WSNs) play a vital role in modern applications such as healthcare, smart cities, and environmental monitoring. However, their potential is often limited by energy constraints, which reduce the lifetime of the network and the data collection capabilities. To address this cha...
Saved in:
| Main Authors: | Thierry Taning Longla, Tansal Gucluoglu, Tamer Dag |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11086577/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
IMPLEMENTATION OF THE DBSCAN ALGORITHM FOR CLUSTERING STUNTING PREVALENCE TYPOLOGY IN WEST JAVA, CENTRAL JAVA, AND EAST JAVA REGIONS
by: Bagus Sumargo, et al.
Published: (2025-07-01) -
Research on adaptive optimization of KNN-DBSCAN parameters based on MDT overlapping coverage data
by: Lu LIU, et al.
Published: (2022-02-01) -
Sentiment Analysis of Indonesian Responses to the Conflict in Palestine Using KNN and SVM Methods
by: Rizky Fauzi, et al.
Published: (2024-11-01) -
Perbandingan Algoritma Naïve Bayes dan K-Nearest Neighbor (KNN) untuk Mengetahui Keakuratan Diagnosa Penyakit Diabetes
by: Qonitah Alia Puteri, et al.
Published: (2023-12-01) -
Implementation of track clustering based on ST DBSCAN
by: Zhu Yuliang
Published: (2022-05-01)