Resilient Data Collection in Refinery Sensor Networks Under Large Scale Failures
Liu, T., Guo, H., Lui, K.-S., Jin, H., Nahrstedt, K.,
|Wireless sensors and measurement devices are widely deployed in oil and gas refineries to monitor the health of the pipes. These sensors are deployed along the pipes in an open area and thus are subject to large scale failures due to cyber-physical attacks and hazardous environments. In this paper, we study the resilience issues in collecting data from a dense and large scale set of sensors deployed over the physical refinery pipe network. We construct a multi-tree sensor mesh network over the refinery sensors for data collection. The reporting messages within one of the trees, while passing along the tree, are protected by a secret key shared among all sensors on the tree. Our construction aims to minimize the data collection time and ensures that the information leakage probability of the secret key is bounded. To tolerate large scale failures, we present a distributed self-healing protocol, which enables a tree node to discover a secondary path when its parent fails. The simulation result shows that the self-healing protocol tolerates large scale failures with high probability and has small overhead in data collection time.|
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
- The following copyright notice applies to all of the above items that appear in IEEE publications: "Personal use of this material is permitted. However, permission to reprint/publish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from IEEE."
- The following copyright notice applies to all of the above items that appear in ACM publications: "© ACM, effective the year of publication shown in the bibliographic information. This file is the authorís version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in the journal or proceedings indicated in the bibliographic data for each item."
- The following copyright notice applies to all of the above items that appear in IFAC publications: "Document is being reproduced under permission of the Copyright Holder. Use or reproduction of the Document is for informational or personal use only."