Energy-Aware Distributed Clustering Algorithm for Improving Network Performance in WSNs
Wireless sensor networks (WSNs) consist of a large number of sensor nodes equipped with a diverse number of small and low-cost devices with limited resources, such as a short communication range, a low bandwidth, a small memory, and a restricted energy. In particular, among these constraint factors,...
Saved in:
| Main Authors: | Joon-Ik Kong, Jin-Woo Kim, Doo-Seop Eom |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-03-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/670962 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improved Particle Swarm Optimization Based Distributed Energy-Efficient Opportunistic Algorithm for Clustering and Routing in WSNs
by: M. S. Sivagamasundari, et al.
Published: (2023-03-01) -
Reliable Latency-Aware Routing for Clustered WSNs
by: Ali Tufail
Published: (2012-03-01) -
An Energy-Efficient Outlier Detection Based on Data Clustering in WSNs
by: Hongyeon Kim, et al.
Published: (2014-04-01) -
Boundary-Aware Transformer for Optic Cup and Disc Segmentation in Fundus Images
by: Soohyun Wang, et al.
Published: (2025-05-01) -
Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs
by: Li Qing-hua, et al.
Published: (2014-01-01)