Name
Abstract | ||
|---|---|---|
In wireless sensor network, the sensors collect data about natural phenomenon and transmit them to a server in real-time. Many researches mainly focus on processing continuous queries as approximate forms. However, these approaches are difficult to apply to such environmental applications which require storing the correct data In this paper, we introduce two insertion methods, called TSI(Time-Segment Insertion) and TPI(Time-Point Insertion), to save the storage space without loss of raw data useful for queries by using the sensors' temporal attributes. In our methods, storing and discarding the incoming data is represented by a time interval that takes two timestamps at which the value of data is changed. The performance of TSI and TPI is finally judged and compared with the naive method Because naive method does not take the temporal representation and duplicate values problem into account, the tuples obtained from data stream are quite a lot more than those of ours, whereby query execution time is greater as well. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/CIT.2008.4594782 | 2008 IEEE 8TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY, VOLS 1 AND 2 |
Keywords | Field | DocType |
data engineering,real time,wireless sensor network,real time systems,data analysis,wireless sensor networks,memory management,accuracy,databases,biosensors | Data mining,Data stream,Tuple,Computer science,Raw data,Real-time computing,Memory management,Execution time,Timestamp,Information engineering,Wireless sensor network | Conference |
Citations | PageRank | References |
1 | 0.36 | 16 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Koo Lee | 1 | 44 | 8.62 |
| Ling Wang | 2 | 12 | 3.92 |
| Young Jin Jung | 3 | 39 | 6.76 |
| Hi-Seok Kim | 4 | 16 | 5.71 |
| Keun Ho Ryu | 5 | 883 | 85.61 |