Outlier-Aware Data Aggregation in Sensor Networks
Antonios Deligiannakis, Vassilis Stoumpos, Yannis Kotidis, Vasilis Vassalos, Alex Delis · 2008
In this paper we discuss a robust aggregation framework that can detect spurious measurements and refrain from incorporating them in the computed aggregate values. Our framework can consider different definitions of an outlier node, based on a specified minimum support. Our experimental evaluation demonstrates the benefits of our approach.