FSM-based fault detection for sensor node software

Jun Yan Ma, Xing She Zhou, Shi Ning Li

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A method of finite-state machine (FSM) based fault detection is proposed to detect faults of event-driven programs. To describe expectation of program behaviors, users specify FSM specifications and insert relevant FSM annotations into the programs. At runtime, software faults are detected through comparing the FSM specifications with collected execution information of the relevant FSMs. Storage and runtime overheads of three detection mechanisms are investigated on two typical node hardware platforms. Two cases are given to demonstrate the effectiveness of the proposed method for sensor node software fault detection.

Original languageEnglish
Pages (from-to)107-112
Number of pages6
JournalBeijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications
Volume36
Issue number2
StatePublished - Apr 2013

Keywords

  • Event-driven model
  • Fault detection
  • Finite-state machine
  • Sensor networks

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