Data Consistency and Fault Management in Local Sensor Networks used for Landslide Surveillance

Daniel Petrisor, Cristian Zet, Cristian Fosalau

Abstract

In this paper we are presenting a data consistency and fault management architecture, developed for a local embedded sensor network used for landslide surveillance. Landslide sensor responses measured from multiple points are used by our software architecture to compute a local landslide displacement and orientation. Landslide sensors are checked by our architecture for data consistency and fault management. Our approach implements a fault tolerant architecture, where a measurement point that is identified, tested and verified to be faulty is removed from the list of addressed sensors in order to ensure data integrity. Fault tolerant architecture is integrated at node level, where possible diagnostic fault codes received from measurement points are managed. Decisions to exclude measurement points from the network are made based on the occurrence and persistence of specific diagnostic fault codes.

Keywords

embedded sensor network, fault management, data consistency, landslide surveillance.

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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