In-Network Outlier Detection in Wireless Sensor Networks
Abstract
To address the problem of unsupervised outlier detection in wireless sensor networks, we develop an approach that (1) is flexible with respect to the outlier definition, (2) computes the result in-network to reduce both bandwidth and energy usage,(3) only uses single hop communication thus permitting very simple node failure detection and message reliability assurance mechanisms (e.g., carrier-sense), and (4) seamlessly accommodates dynamic updates to data. We examine performance using simulation with real sensor data streams. Our results demonstrate that our approach is accurate and imposes a reasonable communication load and level of power consumption.
Cite
@article{arxiv.0909.0685,
title = {In-Network Outlier Detection in Wireless Sensor Networks},
author = {Joel W. Branch and Chris Giannella and Boleslaw Szymanski and Ran Wolff and Hillol Kargupta},
journal= {arXiv preprint arXiv:0909.0685},
year = {2013}
}
Comments
Extended version of a paper appearing in the Int'l Conference on Distributed Computing Systems 2006