Name
Abstract | ||
|---|---|---|
Pipelining the messaging between sensor nodes increases the overall throughput of the querying system, however at the cost of extra communication. But for long running queries, the messages communicated in pipelined architecture are even less than the normal count of messages in any query processing methodology in sensor networks, as also pointed out in previous work. In this paper we device a novel methodology to process aggregation queries in sensor networks by using the systolic architecture. We explicitly define and stipulate the use of systolic message communication as aggregation query processing technique to yield increased response time with the saving of energy by reduced message communication when considering long running queries. We show through simulation the two-fold gain using the proposed technique as compared to methods without pipelining. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11833529_55 | UIC |
Keywords | Field | DocType |
pipelined architecture,novel methodology,reduced message communication,proposed technique,sensor node,extra communication,aggregation query,aggregation query processing technique,sensor network,systolic message communication,systolic query processing | Sensor node,Pipeline (computing),Database query,Computer science,Sensor array,Computer network,Response time,Throughput,Ubiquitous computing,Wireless sensor network,Distributed computing | Conference |
Volume | ISSN | ISBN |
4159 | 0302-9743 | 3-540-38091-4 |
Citations | PageRank | References |
1 | 0.35 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Suraj Pandey | 1 | 628 | 29.60 |
| Ho Seok Kim | 2 | 4 | 1.08 |
| Sang Hun Eo | 3 | 19 | 3.52 |
| Hae-Young Bae | 4 | 78 | 31.47 |