Name
Abstract | ||
|---|---|---|
Wireless sensor networks are becoming increasingly popular for a variety of applications. Users are frequently faced with the surprising discovery that readings produced by the sensing elements of their motes are often contaminated with outliers. Outlier readings can severely affect applications that rely on timely and reliable sensory data in order to provide the desired functionality. As a consequence, there is a recent trend to explore how techniques that identify outlier values based on their similarity to other readings in the network can be applied to sensory data cleaning. Unfortunately, most of these approaches incur an overwhelming communication overhead, which limits their practicality. In this paper we introduce an in-network outlier detection framework, based on locality sensitive hashing, extended with a novel boosting process as well as efficient load balancing and comparison pruning mechanisms. Our method trades off bandwidth for accuracy in a straightforward manner and supports many intuitive similarity metrics. Our experiments demonstrate that our framework can reliably identify outlier readings using a fraction of the bandwidth and energy that would otherwise be required. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.is.2011.08.005 | Inf. Syst. |
Keywords | Field | DocType |
overwhelming communication overhead,intuitive similarity metrics,efficient load balancing,outlier value,quality guarantee,sensory data,reliable sensory data,in-network approximate computation,method trade,comparison pruning mechanism,in-network outlier detection framework,outlier reading,locality sensitive hashing,sensor network,outlier,similarity | Anomaly detection,Data mining,Computer science,Artificial intelligence,Computation,Locality-sensitive hashing,Load balancing (computing),Outlier,Bandwidth (signal processing),Boosting (machine learning),Wireless sensor network,Machine learning,Database | Journal |
Volume | Issue | ISSN |
38 | 8 | 0306-4379 |
Citations | PageRank | References |
10 | 0.56 | 54 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nikos Giatrakos | 1 | 176 | 14.94 |
| Yannis Kotidis | 2 | 1994 | 208.82 |
| Antonios Deligiannakis | 3 | 828 | 48.19 |
| Vasilis Vassalos | 4 | 1189 | 144.02 |
| Yannis Theodoridis | 5 | 3155 | 266.14 |