Name
Abstract | ||
|---|---|---|
The region covered by monitoring system is vast in a large-scale smart grid. Traditional grid has the latency problem on the query of the historical data on server which cannot satisfy the needs of the smart grid real-time monitoring and real-time control. Furthermore, the global query in wireless sensor network (WSN) of the monitoring system cannot meet the requirement of users to query flexibly at any area, and needs high communication cost. Therefore, an efficient query for a large-scale smart grid becomes a key issue to be solved in the present smart grid research. On the basis of previous research, this paper proposes a query approach in support of variable physical window in large-scale smart grid. The approach uses physical window describing actual area of query which is variable according to user need. And through selecting query tree and node inside the query tree, physical window is modified to achieve high efficiency and flexible query. Experiments show that the approach can realize the queries for any physical regions, while reduce the cost of network communication and extend the lifetime for the monitoring system network. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-08010-9_34 | WEB-AGE INFORMATION MANAGEMENT, WAIM 2014 |
Keywords | Field | DocType |
smart grid, physical window, monitoring system, data query | Query optimization,Data mining,Query expansion,Smart grid,Computer science,Sargable,Grid file,Online aggregation,Wireless sensor network,Grid | Conference |
Volume | ISSN | Citations |
8485 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Wang | 1 | 2 | 1.41 |
| Qingxu Deng | 2 | 361 | 46.24 |
| Wei Liu | 3 | 35 | 8.36 |
| Baoyan Song | 4 | 18 | 7.97 |