Name
Abstract | ||
|---|---|---|
The sensors in sensor networks have limited energy and thus energy preserving techniques are important. The low-energy adaptive clustering hierarchy (LEACH) technique improves energy efficiency of the sensor network by selecting a cluster head, and having it aggregate data from other nodes in its cluster and transmit it to the base station. In this paper, we propose three techniques, which we will call collectively Energy Efficient LEACH (EEL), that improve on LEACH to significantly reduce energy consumption and increase the lifetime of the sensor network. Simulation results using the NS-2 network simulator show that EEL improves LEACH by 37% with respect to network lifetime. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74477-1_27 | ICCSA |
Keywords | Field | DocType |
energy efficient leach,limited energy,energy consumption,cluster head,wireless sensor network,base station,aggregate data,network lifetime,sensor network,ns-2 network simulator show,energy efficiency,low energy adaptive clustering hierarchy,energy efficient,network simulator | Base station,Key distribution in wireless sensor networks,Computer science,Efficient energy use,Computer network,Network simulation,Real-time computing,Aggregate data,Cluster analysis,Energy consumption,Wireless sensor network | Conference |
Volume | ISSN | ISBN |
4706 | 0302-9743 | 3-540-74475-4 |
Citations | PageRank | References |
1 | 0.38 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jungrae Kim | 1 | 8 | 1.88 |
| Ki-Young Jang | 2 | 140 | 6.98 |
| Hyunseung Choo | 3 | 1364 | 195.25 |
| Won Kim | 4 | 14 | 3.26 |