Name
Abstract | ||
|---|---|---|
In sensor networks, many studies have been proposed to process in-network aggregation efficiently. Unlike general aggregation queries, skyline query processing compares multi-dimensional data for the result. Therefore, it is very difficult to process the skyline queries in sensor networks. It is important to filter unnecessary data for energy-efficient skyline query processing. Existing approaches get rid of unnecessary data transmission by deploying filters to whole sensors. However, network lifetime is reduced due to energy consumption for transmitting filters. In this paper, we propose a lazy filtering-based in-network skyline query processing algorithm to reduce energy consumption by transmitting filters. Our algorithm creates the skyline filter table (SET) in the data gathering process which sends data from sensor nodes to the base station and filters out unnecessary data transmissions using it. The experimental results show that our algorithm reduces false positive by 53% and improves network lifetime by 44% on average over the existing method. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1587/transinf.E93.D.2854 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | Field | DocType |
sensor network, skyline query, filtering, priority | Skyline,Data mining,Base station,Data transmission,Computer science,Real-time computing,Artificial intelligence,Computer vision,Data collection,Efficient energy use,Filter (signal processing),Energy consumption,Wireless sensor network | Journal |
Volume | Issue | ISSN |
E93D | 10 | 1745-1361 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongook Seong | 1 | 17 | 4.77 |
| Junho Park | 2 | 12 | 3.98 |
| Myungho Yeo | 3 | 21 | 4.51 |
| Jaesoo Yoo | 4 | 123 | 35.63 |