Name
Title | ||
|---|---|---|
Energy Efficient Location-Based Clustering for Skewed-Topology Wireless Sensor Networks |
Abstract | ||
|---|---|---|
The energy consumption problem in wireless sensor networks is investigated. The problem is to expend as little energy as possible receiving and transmitting data, because of constrained battery. In this paper, in order to extend the lifetime of the network, we proposed a location-based clustering algorithm for wireless sensor network with skewed-topology. The proposed algorithm is to deploy multiple child nodes at the sink to avoid bottleneck near the sink and to save energy. Proposed algorithm can reduce control traffic overhead by creating a dynamic cluster. We have evaluated the performance of our clustering algorithm through an analysis and a simulation. We compare our algorithm’s performance to the best known centralized algorithm, and demonstrate that it achieves a good performance in terms of the life time. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/GPC.WORKSHOPS.2008.72 | GPC Workshops |
Keywords | Field | DocType |
energy consumption problem,centralized algorithm,skewed-topology wireless sensor networks,control traffic overhead,location-based clustering algorithm,energy efficient,dynamic cluster,good performance,wireless sensor network,clustering algorithm,proposed algorithm,life time,clustering,location,clustering algorithms,wireless sensor networks,algorithm design and analysis,energy efficiency,network topology,topology,skew | Bottleneck,Computer science,Computer network,Real-time computing,Cluster analysis,Distributed computing,Key distribution in wireless sensor networks,Topology,Efficient energy use,Brooks–Iyengar algorithm,Mobile wireless sensor network,Wireless sensor network,Energy consumption | Conference |
Citations | PageRank | References |
2 | 0.42 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haewon Choi | 1 | 4 | 0.88 |
| ByungRae Cha | 2 | 51 | 14.59 |
| Kyungjun Kim | 3 | 34 | 9.48 |