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ANDES: an Anomaly Detection System for Wireless Sensor Networks

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3 Author(s)
Sumit Gupta ; Dept. of Computer Science, University of Houston, Houston, TX 77204, singhals ; Rong Zheng ; Albert M. K. Cheng

In this paper, we propose ANDES, a framework for detecting and finding the root causes of anomalies in operational wireless sensor networks (WSNs). The key novelty of ANDES is that it correlates information from two sources: one in the data plane as a result of regular data collection in WSNs, the other in the management plane implemented via a separate routing protocol, making it resilient to routing anomaly in the data plane. Evaluation using a 32-node sensor testbed shows that ANDES is effective in detecting fail-stop failures and most routing anomalies with negligible computing and storage overhead.

Published in:

2007 IEEE International Conference on Mobile Adhoc and Sensor Systems

Date of Conference:

8-11 Oct. 2007