Name
Abstract | ||
|---|---|---|
Event detection is a central component in numerous wireless sensor network (WSN) applications. In spite of this, the area
of event description has not received enough attention. The majority of current event description approaches rely on using
precise values to specify event thresholds. However, we believe that crisp values cannot adequately handle the often imprecise
sensor readings. In this paper we demonstrate that using fuzzy values instead of crisp ones significantly improves the accuracy
of event detection. We also show that our fuzzy logic approach provides higher detection precision than a couple of well established
classification algorithms.
A disadvantage of using fuzzy logic is the exponentially growing size of the rule-base. Sensor nodes have limited memory and
storing large rule-bases could be a challenge. To address this issue we have developed a number of techniques that help reduce
the size of the rule-base by more than 70% while preserving the level of event detection accuracy.
|
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-17994-5_12 | ADHOCNETS |
Keywords | Field | DocType |
fuzzy logic,event detection accuracy.,event description,wireless sensor networks,rule based,wireless sensor network | Key distribution in wireless sensor networks,Computer science,Soft sensor,Fuzzy logic,Computer network,Mobile wireless sensor network,Statistical classification,Wireless sensor network | Conference |
Citations | PageRank | References |
6 | 0.59 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Krasimira Kapitanova | 1 | 160 | 7.76 |
| Sang Hyuk Son | 2 | 1327 | 348.44 |
| Kyoung-Don Kang | 3 | 563 | 37.51 |