Name
Abstract | ||
|---|---|---|
In this article, we investigate clustering algorithms that are proposed for wireless sensor networks (WSNs). Then, we propose a clustering algorithm for WSNs called PCAC, that is both power and connectivity aware. Our proposed Power- and Connectivity-Aware Clustering (PCAC) algorithm provides higher energy efficiency and increases the total life time (TLT) of the network. We evaluate our proposed PCAC algorithm in a simulation environment and compare its performance to previously proposed algorithms. According to the simulation results, our proposed PCAC algorithm is energy efficient and also provides longer TLT (in worst-case, up to 85% improvement for a 15-node network with one-hop connectivity) to the network, compared to the previously proposed algorithms. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/s13638-015-0321-6 | EURASIP J. Wireless Comm. and Networking |
Keywords | Field | DocType |
Clustering, Wireless sensor network, Power-aware, Connectivity-aware, Hierarchical, Total life time | Data mining,Computer science,Efficient energy use,Real-time computing,Cluster analysis,Computer engineering,Wireless sensor network,Life time | Journal |
Volume | Issue | ISSN |
2015 | 1 | 1687-1499 |
Citations | PageRank | References |
2 | 0.42 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ismail Butun | 1 | 292 | 15.25 |
| Inho Ra | 2 | 77 | 10.46 |
| Ravi Sankar | 3 | 656 | 55.66 |