In-network Sensor Data Modelling Methods for Fault Detection

نویسندگان

  • Lei Fang
  • Simon Dobson
چکیده

Wireless sensor networks are attracting increasing interest but su↵er from severe challenges such as low data reliability. To improve the data reliability, many sensor fault detection techniques have been proposed. Behind these methods, mathematical models are usually employed to serve as comparing metric to find faulty data in the absence of ground truth. In this paper, we firstly discuss sensor data features and their relevance to fault detection. Criteria that should be met to become a competent data model for the purpose of fault detection is summarised. Some existing sensor data modelling methods for fault detection are presented and qualitatively compared.

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تاریخ انتشار 2013