Name
Abstract | ||
|---|---|---|
Wireless sensor networks have recently emerged as an important computing platform. The sensors in this system are power-limited and have limited computing resources. Therefore sensors' energy has to be managed wisely in order to maximize the lifetime of the network. There have been many studies on considering sensors' energy. Among these, clustering sensor nodes is more efficient and adaptive approach in sensor networks. Based on this approach, we introduce a method that prolongs the network lifetime. The method is that a cluster-head with less-energy-constraint, distributes energy load evenly among its members based on their energy usage by sub-clustering. The simulation result shows that the proposed method in this paper has achieved better performance than other clustering method in the lifetime of the network. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11424758_123 | ICCSA (1) |
Keywords | Field | DocType |
cluster-based sensor network,important computing platform,adaptive approach,energy-efficiency method,sensor node,energy usage,wireless sensor network,clustering method,sensor network,network lifetime,energy load,clustering,wireless sensor networks,energy efficient | Leader election,Key distribution in wireless sensor networks,Wireless network,Efficient energy use,Computer science,Sensor array,Mobile wireless sensor network,Cluster analysis,Wireless sensor network,Distributed computing | Conference |
Volume | ISSN | ISBN |
3480 | 0302-9743 | 3-540-25860-4 |
Citations | PageRank | References |
1 | 0.40 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kyung-Won Nam | 1 | 1 | 0.73 |
| Jun Hwang | 2 | 1 | 0.73 |
| Cheol-Min Park | 3 | 148 | 7.46 |
| Youngchan Kim | 4 | 31 | 4.82 |